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Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a hands-on Physical Security Systems Technician to support deployment, validation, and maintenance of physical security infrastructure across our sites throughout the United States. This role is based in New York,  and requires frequent travel to support installations, upgrades, testing, and operational activities at multiple locations nationwide. The ideal candidate combines strong physical security systems knowledge with practical IT infrastructure experience, including networking, Windows/Linux systems, storage platforms, and log analysis. They will ensure systems are properly deployed, validated, documented, and production-ready. Key Responsibilities Installation & Support Install, configure, and maintain CCTV systems (cameras, NVRs/DVRs, VMS) Support access control systems (badging, controllers, readers, permissions) Perform hardware replacements (cameras, readers, controllers, cabling components) Troubleshoot physical security system issues across network, hardware, operating system, and application layers Support Windows and Linux-based systems supporting physical security platforms Assist with storage systems used for video retention and evidence management Testing & Validation Execute system testing after installations and changes Develop and run Site Acceptance Testing (SAT) procedures for new deployments Validate system performance, coverage, failover scenarios, storage retention, and compliance with design requirements Identify, track, and help resolve issues found during testing Verify network connectivity, device health, and system integrations Documentation Produce and maintain accurate technical documentation (network diagrams, device inventories, configurations, system architecture) Create and maintain SAT reports, test cases, and validation checklists Document system changes, incidents, troubleshooting activities, and resolutions Ensure documentation is structured, standardized, and audit-ready Deployment & Operations Support system upgrades, migrations, and new site rollouts Work with vendors and integrators to ensure quality delivery Provide on-site and remote support across multiple locations throughout the United States Monitor and troubleshoot system logs to identify operational issues and root causes Ensure systems comply with internal standards and security requirements Required Qualifications 2+ years of hands-on experience with physical security systems (CCTV, access control) Experience installing and configuring cameras and access control hardware Experience with system testing, commissioning, SAT, or similar validation activities Ability to produce clear technical documentation and reports Solid IT infrastructure knowledge, including: Networking (TCP/IP, VLANs, routing basics, PoE, DNS, DHCP) Windows administration and troubleshooting Linux administration, services, logs, and basic troubleshooting Storage technologies and capacity management fundamentals Log analysis and troubleshooting using system and application logs Strong troubleshooting skills across hardware, software, operating systems, and networks Ability to work independently in remote locations with minimal supervision Valid driver’s license and ability to travel extensively throughout the United States Excellent communication and organizational skills Preferred Qualifications Experience with enterprise VMS platforms Familiarity with enterprise access control systems Experience in data center, critical infrastructure, or enterprise environments Knowledge of low-voltage cabling standards Exposure to structured testing methodologies (SAT, UAT, commissioning) Experience with monitoring, logging, and system health validation tools Familiarity with virtualization platforms and enterprise IT environments Key Traits Hands-on and execution-focused Detail-oriented and structured Strong sense of ownership for quality and completeness Clear and disciplined in documentation Strong analytical and troubleshooting mindset Comfortable working across multiple sites and environments Willing and able to travel extensively throughout the United States (up to 75%+ travel) Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $85,900 — $107,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Limassol, Cyprus We are looking for a Product Manager - Player Experience & Web Platform to own and continuously improve the player experience across our casino and sportsbook brand websites. Our company leverages a centralized brand architecture that enables the efficient deployment and management of iGaming brands across multiple markets. The role will be responsible for analyzing how players interact with our websites, identifying friction points, reviewing and improving all flows, improving conversion, and working closely with the Front-End development team to ensure the template is constantly evolving, scalable, configurable, and suitable for different brands, markets, and client needs. This is a hands-on product role that combines player experience, analytics, UX thinking, business understanding, and close cooperation with Front-End, CRM, Casino, Sportsbook, Payments, Compliance, and other Product Managers. Key Responsibilities: Player Experience Ownership Own the end-to-end player experience across the company’s casino and sportsbook websites. Continuously review and improve key player journeys, including registration, login, cashier, deposits, withdrawals, password reset, account area, bonuses, promotions, and navigation. Identify pain points in player flows and propose practical improvements that increase conversion, retention, usability, and player satisfaction. Ensure the website experience is clear, smooth, fast, mobile-friendly, and aligned with business goals. Website Template & Front-End Platform Own the product roadmap for the shared brand website template. Work closely with the Front-End development team to improve the template structure, flexibility, scalability, and configurability. Define requirements for new template components, page layouts, widgets, menus, banners, promotional areas, cashier improvements, and player account features. Ensure the template can support different brands, markets, languages, designs, regulatory requirements, and client configurations. Maintain a balance between brand-specific customization and platform-level scalability. Analytics & Flow Optimization Use player analytics, Microsoft Clarity, heatmaps, session recordings, funnel analysis, and other data tools to understand player behavior. Monitor key website metrics such as registration conversion, deposit conversion, drop-off points, cashier performance, page usage, click behavior, mobile behavior, and failed journeys. Translate data insights into clear product requirements and improvement plans. Work with BI, CRM, Payments, Casino, and Support teams to identify recurring issues and opportunities. Collaboration with Other Product Managers Work with other Product Managers responsible for CRM, retention, gamification, tournaments, missions, bonuses, and sportsbook/casino features. Ensure new retention tools and engagement features are properly integrated into the brand website template. Make sure product additions are visible, usable, and commercially effective from the player’s point of view. Coordinate dependencies between front-end development, platform capabilities, CRM tools, and operational teams. Backlog & Delivery Own and manage the Front-End product backlog related to the brand template and player experience. Write clear product requirements, user stories, acceptance criteria, and business logic. Prioritize tasks based on business impact, player impact, client needs, effort, urgency, and technical dependencies. Work closely with UX/UI designers, developers, QA, and stakeholders from idea to delivery. Test delivered features from a player and business perspective before release. Ensure releases are communicated clearly to relevant internal teams. Market & Competitor Awareness Regularly review competitor casino and sportsbook websites to identify best practices and improvement opportunities. Stay updated on iGaming UX trends, cashier flows, onboarding methods, retention mechanics, mobile-first experiences, and platform configuration standards. Bring practical ideas that can improve the company’s product quality and commercial performance. Required Experience: 4+ years of experience as a Product Manager, Product Owner, UX Product Manager, Growth Product Manager, or similar role. Experience with casino, sportsbook, iGaming is highly desirable; Alternatively, fintech, payments, e-commerce, or another high-conversion digital product. Strong understanding of web and mobile user journeys. Experience working with Front-End development teams. Experience using analytics tools to identify product problems and opportunities. Ability to write clear requirements, user stories, acceptance criteria, and product documentation. Experience working with Jira, Figma, analytics dashboards, and product management tools. Strong business understanding and ability to prioritize based on impact. Strong Advantage: Previous experience in iGaming. Experience with casino or sportsbook platforms. Experience with cashier, deposit, withdrawal, registration, KYC, login, account, or bonus flows. Experience with Microsoft Clarity, Hotjar, Google Analytics, Mixpanel, Amplitude, Looker, Tableau, or similar tools. Experience with white-label platforms or multi-brand templates. Experience with CRM, gamification, tournaments, missions, bonuses, or retention tools. Understanding of localization, multi-currency, multi-language, and market-specific website requirements. Skills & Attributes: Player-focused. Analytical. Commercially minded. Detail-oriented. Strong in UX thinking. Comfortable working with developers. Able to challenge poor flows or unclear logic. Practical, not theoretical. Strong in prioritization. Clear in communication. Able to manage multiple stakeholders. Comfortable working in a fast-changing environment. Able to turn unclear business needs into structured product requirements. What Success Looks Like: Player journeys become smoother and clearer. Registration and deposit conversion improve. Drop-offs in key flows are reduced. The shared brand template becomes more flexible and configurable. Front-End delivery becomes better prioritized and more business driven. New retention and engagement tools are integrated properly into the website experience. Brands can launch and operate faster with fewer custom development needs. Internal teams have a clear owner for the player-facing website experience. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. An attractive remuneration package, based on qualifications and experience. Continuous learning and development opportunities. Company-wide events and team activities, fostering a fun and supportive work environment. Wolt monthly allowance. Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages. Medical and wellness app, supporting both mental and physical well-being! Apply now and let’s achieve success together Apply at https://aloplay.bamboohr.com/careers/93?source=aWQ9MTg%3D to become a member of our amazing team! We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.

Location: London, UK Join a dynamic team to design and develop AWS-enabled solutions using Python. This position is open for hiring in Dublin, Ireland, and requires working from the office 1 - 3 days per week. The client's technological platform is continuously evolving as they integrate new and emerging technologies to support their growing business. The team manages the applications that are central to the client's core business strategy and provides support for a global user base. Due to the dynamic nature of the client's business, high levels of agility are required, demanding that the team maintain technical excellence. This project is part of the client's global technology modernization roadmap, aimed at equipping one of their key lines of business with the necessary technology to tackle modern market challenges and opportunities. The development focuses on core business applications using a modern AWS toolset, with Python on the backend. Since the project is in its early stages, much of the work involves architecture design, technology selection, and proof-of-concept (POC) activities. Design and develop of AWS-enabled solutions using Python as the main programming language Ensure newly developed applications have sufficient test coverage with a strong preference towards automated test suites Ensure application observability using standard AWS tools and services Collaborate with the broader development team on shared architecture, best practices, and development culture Provide guidance on the technological and methodological direction of systems in support of business strategies Extensive experience in Python development Detailed knowledge of AWS services in the context of building serverless backend applications that expose secure APIs and utilise parallel computing techniques, messaging and data volume intensive workflows Hands-on experience with automated deployment of AWS stack to development and production environments Experience in analysis and resolution of typical AWS performance bottlenecks Solid Linux and scripting background Passion for automation, testing and choosing the best tool for the job General problem-solving mentality. The ability to collaborate with different teams on solutions for a variety of different business, code & data-related issues Strong communication skills Experience with CI/CD workflows supported by GitHub actions Experience in developing applications using Serverless framework Prior experience in working in the Financial Services/Insurance industry Prior experience working in an Agile/Scrum development environment

Location: Dhahran, Saudi Arabia Job Summary We are seeking an experienced SAP Integration Consultant with 6–8 years of experience to join an onsite team in Dhahran, Saudi Arabia , supporting an MRO Inventory Optimization project for a leading petrochemical client. Due to client security policies, the role requires onsite presence. The ideal candidate should possess strong hands-on experience in SAP Cloud Platform Integration (CPI) / SAP Integration Suite , with expertise in designing, developing, and deploying real-time integrations between SAP and external applications. The consultant will be responsible for defining integration architecture, building and deploying CPI integration flows, and supporting cybersecurity approvals and solution rollout across multiple plants. Key Responsibilities Define and document the overall integration strategy, architecture, and API approach for the solution. Design and document end-to-end integration architecture and detailed data flows between SAP and external systems. Analyze business and technical requirements to identify the most appropriate integration mechanisms. Build, configure, test, and deploy real-time integrations using SAP Cloud Platform Integration (CPI) / SAP Integration Suite . Develop and maintain integration flows for SAP Material Master and Inventory (MM) data . Design and implement integrations using OData, IDoc, BAPI, RFC, REST, and SOAP APIs . Assess and confirm whether custom developments or enhancements are required. Collaborate closely with business, functional, and technical teams to ensure seamless integration delivery. Support client cybersecurity review and approval processes, ensuring secure integration design and implementation. Estimate CPI message volumes, throughput requirements, and associated runtime costs. Perform integration testing, troubleshooting, and performance optimization. Implement monitoring, logging, and error-handling mechanisms to ensure reliable operations. Support deployment and rollout from the initial pilot plant to additional plants across the organization. Prepare technical documentation, architecture diagrams, and deployment guides. Requirements Technical Requirements Must-Have Skills 6–8 years of experience in SAP Integration and Middleware technologies. Strong hands-on experience with: SAP Cloud Platform Integration (CPI) / SAP Integration Suite Development and deployment of CPI integration flows SAP Material Master and Inventory (MM) data integration OData, IDoc, BAPI, RFC REST and SOAP APIs Integration architecture and data flow design Proven experience in designing and implementing real-time SAP integrations. Strong understanding of enterprise integration patterns and middleware architecture. Experience in technical documentation, architecture diagrams, and integration specifications. Good-to-Have Skills Experience with SAP Business Technology Platform (BTP) . Knowledge of SAP S/4HANA integration scenarios. Experience with secure connectivity mechanisms, including: SAP Cloud Connector OAuth Certificates and secure communication protocols Experience supporting cybersecurity reviews and security compliance processes. Familiarity with API Management capabilities. Experience in message monitoring, logging, exception handling, and operational support. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. SAP CPI / SAP Integration Suite certifications are highly desirable. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and stakeholder management skills. Experience working in industrial, manufacturing, oil & gas, or petrochemical environments is an advantage.

Location: Dhahran, Saudi Arabia Job Summary We are seeking an experienced Power BI Developer with 5–6 years of experience in designing and delivering enterprise-grade business intelligence solutions. The ideal candidate should have strong expertise in Power BI, DAX, Power Query, SQL, BigQuery, data modeling, and Row-Level Security (RLS) . The candidate will be responsible for developing interactive dashboards and analytical solutions that support business decision-making, with a focus on KPI reporting, inventory analytics, and executive dashboards. Key Responsibilities Design, develop, and maintain interactive and visually compelling Power BI dashboards and reports . Build and optimize KPI dashboards , inventory analytics solutions, and executive reporting dashboards. Develop complex calculations and business logic using DAX . Use Power Query to perform data extraction, transformation, and preparation activities. Design and implement scalable and efficient data models to support reporting and analytics requirements. Develop and optimize SQL queries and integrate data from BigQuery and other enterprise data sources. Implement and manage Row-Level Security (RLS) to ensure secure access to data. Collaborate with business stakeholders to gather requirements and translate them into analytical solutions. Monitor, troubleshoot, and optimize report performance and data refresh processes. Ensure data accuracy, consistency, and adherence to data governance standards. Support report deployment, maintenance, and enhancements across development and production environments. Provide documentation, user training, and ongoing support for BI solutions. Requirements Technical Requirements Must-Have Skills 5–6 years of experience in Business Intelligence or Power BI development. Strong hands-on experience with: Power BI DAX Power Query SQL Google BigQuery Data Modeling Row-Level Security (RLS) Experience in developing enterprise-level dashboards and reporting solutions. Strong understanding of data warehousing concepts and BI best practices. Experience in data integration, transformation, and performance optimization. Proficiency with version control and collaborative development practices. Good-to-Have Skills Experience with Paginated Reports in Power BI Report Builder. Experience in Power BI Service administration , including workspace management, gateways, and deployment pipelines. Knowledge of data governance , data quality, and security practices. Experience integrating Python or R within Power BI for advanced analytics and visualizations. Familiarity with Azure DevOps for source control and release management. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Experience working with enterprise-scale analytics and reporting platforms.

Location: Thuwal, Saudi Arabia Eram Talent is seeking a proactive and detail-oriented IT Administrative Analyst to support the day-to-day administration, reliability, and continuity of digital systems, user devices, and classroom technology. Reporting to the Operations Manager, the role is responsible for managing IT systems, supporting end users, maintaining digital platforms, coordinating hardware and audio-visual technologies, and ensuring operational readiness across the school environment. The successful candidate will also provide operational support to cross-functional teams, contributing to the efficient delivery of academic and administrative activities. The ideal candidate has experience in IT systems support, device management, and digital operations, preferably within an educational environment. Key Responsibilities Administer and support core digital platforms, including Student Information Systems (SIS), Learning Management Systems (LMS), Google Workspace, and communication platforms. Manage user accounts, permissions, and system access while ensuring compliance with security and data protection policies. Monitor system performance, troubleshoot technical issues, and escalate incidents when required. Configure, deploy, maintain, and support school-owned devices, including laptops, iPads, and shared peripherals. Coordinate device inventory, repairs, warranties, replacements, and lifecycle management. Provide operational support for classroom and shared-space audio-visual systems, including projectors, displays, sound systems, and conferencing equipment. Support technology setup and troubleshooting for lessons, meetings, school events, and assemblies. Assist with academic year preparation, including user onboarding, class creation, device allocation, and system configuration. Maintain accurate documentation of systems, devices, licences, warranties, and vendor support activities. Coordinate with external vendors for hardware, software, and AV support services. Support continuity planning, system security, and incident response in accordance with organisational policies. Collaborate with Academic, Admissions, HR, Finance, and Operations teams to support digital and operational requirements. Assist with reporting, operational coordination, and technology-related projects across the organisation. Ensure compliance with safeguarding, data protection, confidentiality, and acceptable use policies. Requirements Qualifications & Requirements Bachelor's degree or diploma in Information Technology, Computer Science, Information Systems, or a related field. Minimum 7 Years of Experience in IT support, systems administration, or digital operations. Hands-on experience supporting laptops, iPads, and end-user devices. Familiarity with Google Workspace, Student Information Systems (SIS), Learning Management Systems (LMS), or similar platforms. Experience supporting audio-visual equipment and classroom technology is an advantage. Strong organisational, documentation, and problem-solving skills. Excellent communication and interpersonal skills with the ability to support non-technical users. Previous experience in an educational or school environment is preferred.

About the Role We are looking for a Senior Smart Contract Engineer to help design, build, and launch secure blockchain products with seamless wallet-connected user experiences. You’ll work on smart contract architecture, wallet transaction flows, testing, deployment, and Web3 application integrations across networks such as Ethereum, Arbitrum, Optimism, Base, and Polygon. The role is ideal for an engineer who cares deeply about security, clean architecture, gas efficiency, and building products users can trust. Responsibilities — Design, develop, test, and deploy secure smart contracts for blockchain applications. — Build and maintain wallet integration flows, including wallet connection, transaction signing, network switching, and error handling. — Collaborate with frontend and backend engineers to integrate smart contracts into user-facing products. — Improve smart contract architecture with a focus on security, scalability, maintainability, and gas efficiency. — Write comprehensive unit, integration, and end-to-end tests for smart contracts and wallet workflows. — Support contract deployment, verification, monitoring, and upgrade processes across testnet and mainnet environments. — Participate in code reviews and contribute to engineering best practices. — Work with product and engineering teams to define technical requirements and deliver production-ready blockchain solutions. — Stay current with blockchain protocols, Web3 tooling, wallet standards, and smart contract security practices. Requirements — 5+ years of professional experience as a Smart Contract Engineer, Blockchain Engineer, or similar role. — Strong proficiency in Solidity and EVM-based smart contract development. — Experience with development frameworks such as Hardhat, Foundry, or Truffle. — Experience with wallet integration libraries such as ethers.js, web3.js, wagmi, viem, or similar tools. — Hands-on experience integrating wallets including MetaMask, WalletConnect, Coinbase Wallet, and other EVM-compatible wallets. — Strong understanding of blockchain fundamentals, including gas optimization, transaction lifecycle management, smart contract upgrade patterns, token standards (ERC-20, ERC-721, ERC-1155), and event indexing. — Experience with smart contract testing, auditing processes, and security best practices. — Strong communication skills and ability to collaborate effectively in a remote environment. — Ability to work independently and take ownership of projects from design through deployment. Preferred Qualifications — Experience building DeFi, NFT, staking, DAO, payment, or wallet-related Web3 products. — Experience working with Layer 2 networks such as Arbitrum, Optimism, Base, Polygon, or zkSync. — Familiarity with account abstraction, smart wallets, multi-signature wallets, or gasless transaction systems. — Experience with The Graph, blockchain indexers, or on-chain analytics platforms. — Experience contributing to open-source blockchain projects. — Familiarity with React, Next.js, or other modern frontend frameworks. Benefits — Fully remote work environment — Work from anywhere in the world — Competitive compensation — Flexible working hours — Opportunity to work on innovative blockchain and Web3 products — Collaborative and experienced engineering team

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role The Data-Nexus team, a central part of the R&D department at Aidoc, is seeking a versatile Senior Data Engineer to take part in leading Aidoc’s data vision using a lake-house architecture,  and building high-scale solutions for handling and consuming the different data assets of the company. In this role you’ll go beyond traditional boundaries, taking on full product responsibilities - from conceptualization and architecture to design, maintenance, and continuous development. You will collaborate closely with stakeholders across the company to ensure our solutions effectively meet their needs. The ideal candidate will have strong data engineering capabilities, along with software development skills including understanding of designing and managing AWS cloud infrastructure and strong knowledge of different data architectures, methods and tools. Responsibilities Design and development of scalable, reliable, and secure data infrastructure and build ETL pipelines that handle diverse clinical data for research. Write production SQL, Spark jobs and craft schemas that evolve gracefully as research and production questions change. Automate releases with CI/CD and Infrastructure as Code. Optimise throughput, latency and cloud cost to meet research timelines at large scale. Develop and maintain high-quality, scalable, and efficient code while fostering a culture of continuous improvement through regular retrospectives and knowledge sharing. Take ownership of the full development lifecycle , including requirement gathering, design, implementation, testing, deployment, and ongoing maintenance. Collaborate with cross-functional teams , including data scientists, data analysts, product managers, regulatory teams, and other developers, to drive the development of new tools and features that support Aidoc's mission. Explore and adopt new technologies and frameworks that can enhance the capabilities of the Data-Nexus team and the overall data projects in Aidoc. Requirements BSc/MSc in Computer Science, Engineering, or a related field. 8+ years building data or backend systems in Python or a similar coding language, with a strong focus on cloud data infrastructure and scalable systems. Strong command of SQL and a track record of pragmatic schema design. Deep understanding of data modelling, ETLs and streaming technologies , including hands-on experience with tools like big-data tools like AWS Kinesis / Kafka, Spark. Familiarity with modern lakehouse / warehouse tech, like Databricks, Delta Lake, Iceberg, Snowflake, Redshift. Strong understanding of distributed systems, microservices architecture, containerization, and CI/CD pipelines. Proficiency in Infrastructure as Code (IaC) tools, like Terraform or AWS CDK . Experience with containerization and orchestration tools - Docker, Kubernetes (K8s). Ability to take full product ownership from ideation to delivery, ensuring alignment with business objectives. Familiarity with agile development methodologies. Excellent communication skills with the ability to work effectively across teams and a customer-oriented mindset. Clear English communication is required. Advantages: Deep expertise in Databricks (Delta Lake, Unity Catalog, DLT). Knowledge of the medical tech world, including EHR (HL7, FHIR) data and imaging data . Prior work in regulated domains (healthcare, fintech, aviation), experience with enforcing and managing compliance requirements like HIPAA or FedRAMP. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This role is fully remote. Reddit has a flexible first workforce. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient. We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences. This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization. What you’ll do: Lead Reliability Engineering Drive complex, cross-organizational programs to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences. Shape the Future of Reliability Define and drive long-term roadmaps for a domain of ownership within the team, turning ambitious reliability goals into strategic investments that build resilience, unlock scale, and enable product innovation. Build Strategic Partnerships Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales. Eliminate Systemic Risks Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Drive structural improvements that address root causes, eliminate recurring failures, and prevent entire classes of incidents. Shape Automation Strategy Define the team’s approach to automation, identifying new opportunities and reusable patterns that make it easier to automate deployment safety, incident response, remediation workflows, and reliability guardrails Influence Engineering Standards Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company. Elevate the Team Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence. What We’re Looking For 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large scale distributed systems. Expertise leading complex, cross-organizational engineering programs from design through launch. Experience defining technical roadmaps to prioritize broad strategic reliability investment. Proven ability building cross-functional partnerships to align business priorities and facilitate effective technical collaboration. Expertise using and improving observability systems to expose failure modes, accelerate diagnosis, and answer complex questions about system behavior. Expertise troubleshooting complex issues across system, infrastructure, and networking. Strong software engineering fundamentals, sound operational judgment, and effective collaboration practices across teams. Nice to Have Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms. Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies. Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure. Contributions to open source software or participation in technical communities. Experience leading large scale incident response and operational transformation initiatives. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Georgian office About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Role Summary The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work — automation, observability, incident response — with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work Accountable for • Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs • Design, automation, and continuous improvement of cloud and on-prem infrastructure • Timely and high-quality response to incidents and escalated support requests • Security, compliance, and cost-efficiency of the infrastructure under the team's ownership • Day-to-day operations of the infrastructure owned by the team Main Responsibilities • Participate in a 24/7 shift schedule • Monitor systems and respond to automated alerts in line with Lineate support SLAs Diagnose and resolve system problems • Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks • Perform routine system administration on Linux and Windows servers • Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk • Document, categorize, and prioritize incoming support requests • Communicate the status of open requests clearly and regularly to customers • Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance) • Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews • Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases • Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking • Contribute to CI/CD pipelines and basic infrastructure automation • Follow basic information security practices (IAM, secrets handling, least privilege) • Participate in the improvement of support and infrastructure processes Necessary Qualification s: • Minimum 3 years of hands-on Linux system administration experience (required) • Minimum 2 year of hands-on experience with AWS in a production environment (required) • Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required) • Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required) • Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks • At least 1 year of Windows system administration experience • Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use) • Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent • Proficiency with Git and standard version-control workflows • Hands-on experience with Docker and container workflows • Experience managing and maintaining production IT infrastructure • Comfortable working with a broad range of open-source technologies and tools Preferred: • Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation • Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts • Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing • Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging • Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring • Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems • Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks) • Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus Exposure to GCP or Azure in addition to AWS We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate.

Location: London Workplace: Hybrid Why Engineering @loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you’ll have: Senior Software Engineers at loveholidays have strong expertise in: - Supplier integration systems that process vast amounts of data - Industry leading bespoke, high performance search and recommendation systems - Sophisticated real time pricing systems - Complex domain modelling and implementation of booking payment, fulfilment and management systems - AI-powered solutions to assist customers pre and post booking - Best in class, modern user experience through web and mobile applications For a better understanding of our work, refer to some of our blog posts https://tech.loveholidays.com/. Or our open source contributions: - github.com/loveholidays/ripley http://github.com/loveholidays/ripley - github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit - github.com/loveholidays/po-test http://github.com/loveholidays/po-test As part of our tech culture we continuously improve our time to delivery, reducing errors and generally leaving things better than you found them. Your day-to-day: - Adoption of our engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 - Building and running services at scale in the cloud - Collaborating with engineers, designers, product managers within and outside of the team - Implementing maintainable and well-tested solutions iteratively, keeping business impact and observability as a primary focus - Understanding the wider context of the business and designing system architectures that meet short and long term business goals Your skillset: - Algorithms, data structures - Observability - Web services, REST, HTTP - Containers, cloud - Testing, reliability, monitoring - Strong knowledge in building and owning application end-to-end, from inception to maintenance, to retirement - Designing systems that scale - Expertise in some of our main programming languages - TypeScript, Java, Golang, Rust, Python Desirable - Experience with Kubernetes, Prometheus, Terraform, NoSQL or GCP Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Cycle to work scheme, season ticket loan and eye care vouchers The interview journey: - TA screening - 30 mins - 1st Stage - Introduction - 45 mins - Coding challenge - take home test or live pairing - 2nd Stage - 3 hours At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Pilsen, Czechia; Praha, Czechia; Riga, Latvia; Vilnius, Lithuania; Athens, Greece; Crete, Greece; Budapest, Hungary; Miskolc, Hungary; Brussels, Belgium; Liège, Belgium; Mons, Belgium; Namur, Belgium; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Baden-Baden, Germany; Bad Homburg, Germany; Augsburg, Germany; Aachen, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany; Lisbon, Portugal; Porto, Portugal; Zagreb, Croatia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI, covering model weights, dataset versioning, and application code. - Develop specialized workflows for PromptOps, ensuring that system prompts are version-controlled, tested for regressions, and deployed with the same rigor as traditional code. -Automate the deployment of Agentic workflows, managing the complexities of stateful AI interactions and multi-agent handoffs. 2. AI Infrastructure as Code (IaC) - Provision and manage high-performance compute environments (GPU clusters, TPU pods) using Terraform, Pulumi, or Ansible. - Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security, cost-usage limits, and data residency requirements. - Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless parity between On-Premises development and Cloud production. 3. Safe Experimentation & Controlled Releases - Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green deployments, and Shadowing (where new models run in parallel with production to compare outputs). - Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias, hallucination, and performance degradation before a release. - Implement A/B testing frameworks specifically designed for LLM outputs and agentic behavior. 4. Monitoring & Observability - Establish deep observability into Inference Endpoints, tracking metrics like tokens-per- second, latency, and drift in model accuracy. -Integrate feedback loops that capture production “edge cases” to feed back into the training and fine-tuning pipelines. Must-Have Technical Skills: -Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or NVIDIA Triton. -CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi. - AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize Phoenix. -Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises hardware management. -Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault). Experience: - 10+ years in DevOps, SRE, or Cloud Engineering. - 2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs from notebook to production. -Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private Data Center).

Location: Tallinn, Estonia Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (Applied AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . What to expect from our recruitment process: Interview with HR Assessment task Interview with hiring managers Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “ Employee Training & Development program”. Medical Insurance Cover , which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits . Collaboration with SportBenefit. What to expect from our recruitment process: First interview with hiring managers or an HR call Task Assessment Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Cairo, Egypt; New Delhi, India; Dubai, United Arab Emirates; Amman, Jordan; Casablanca, Morocco; Riyadh, Saudi Arabia About The Role Müller's Solutions is looking for a senior SAP Supply Chain and Procurement consultant to own the Source-to-Pay and inventory management workstream on a S/4HANA Cloud Public Edition implementation for a major trading group in the Kingdom of Saudi Arabia. This is a broad, senior generalist role — you will be the single specialist covering procurement, supplier management, and core inventory processes across 4 legal entities. You will work primarily offshore, joining the client onsite in Riyadh for key Fit-to-Standard workshops, UAT, and go-live. You'll partner closely with the Finance and Integration workstreams, since procurement processes touch both heavily in this engagement. What You'll Own —  Fit-to-Standard workshops covering procurement and inventory processes, translating client requirements into standard S/4HANA Cloud configuration. —  End-to-end configuration of purchase requisitions, purchase orders, and goods receipt workflows. —  Supplier master data setup, purchasing contracts, and supplier evaluation and performance monitoring. —  Core inventory and stock management configuration across all 4 legal entities. —  The integration design touchpoints between Procurement (MM) and Finance (FI), working closely with the Finance Lead. —  Data migration scope for vendor master records and open purchase orders, in coordination with the Data Migration Consultant. —  End-user training delivery for procurement and inventory users during the Deploy phase. Requirements —  5+ years of SAP MM / Supply Chain consulting experience, with at least one full-cycle implementation as lead consultant. —  Hands-on configuration experience in SAP S/4HANA Cloud Public Edition procurement processes. —  Strong, demonstrable knowledge of the full Source-to-Pay process — from requisition through invoice settlement. —  Practical experience with basic warehouse and inventory management configuration. —  Comfort working independently across a broad scope, without a large team of specialists to lean on. —  Solid understanding of MM-FI integration points: goods receipt, invoice verification, accruals. Preferred —  Prior project experience in the KSA market, with familiarity around local procurement and supplier practices. —  Exposure to intercompany stock transfer and subcontracting processes. —  Working knowledge of Arabic, written or spoken. —  Experience in trading, distribution, or bulk commodities client environments.

Location: Riyadh, Saudi Arabia; New Delhi, India; Dubai, United Arab Emirates; Cairo, Egypt About The Role Müller's Solutions is looking for a senior, hands-on Project Manager to lead the delivery of a SAP S/4HANA Cloud Public Edition implementation for a major trading group based in the Kingdom of Saudi Arabia. You will take full ownership of a multi-legal-entity Finance and Supply Chain transformation — from Fit-to-Standard workshops through go-live and hypercare — working at the intersection of our client's leadership and a hybrid onsite/offshore delivery team. This is a high-visibility role within our Middle East practice. You will report directly to the Managing Director and act as the single point of accountability for scope, schedule, budget, and client satisfaction throughout the engagement. What You'll Own —  End-to-end delivery of the S/4HANA Cloud Public Edition program using SAP ACTIVATE methodology, from Prepare through Run. —  A delivery team spanning Finance, Supply Chain, Integration, Data Migration, and Training — coordinating onsite and offshore workstreams as one team. —  The project plan, RAID log, budget tracking, and resourcing decisions across all phases. —  Executive-level reporting and steering committee facilitation with client leadership across 4 legal entities. —  Scope governance and change request management, protecting both project quality and commercial margin. —  Cutover planning, go-live readiness, and hypercare oversight — ensuring the client lands the system successfully. —  Coordination of ZATCA Phase 2 compliance milestones with the Finance workstream lead. Requirements —  8+ years of SAP project management experience, with full lifecycle accountability. —  A minimum of 3 completed SAP S/4HANA Cloud Public Edition go-lives as lead Project Manager. —  SAP ACTIVATE methodology certification. —  Demonstrated experience managing multi-legal-entity SAP deployments within the Kingdom of Saudi Arabia. —  Confident, polished stakeholder management with C-level and finance leadership in Arabic-speaking business environments. —  A track record of holding scope, budget, and timeline discipline on fixed-price or milestone-based engagements. Preferred —  PMP or PRINCE2 certification. —  Prior experience in trading, distribution, or manufacturing client environments. —  Familiarity with SAP Integration Suite and BTP-based integration landscapes. Benefits —  Work on flagship Cloud ERP transformations for some of the region's most respected enterprises, backed by a multi-vendor partner ecosystem spanning SAP, ServiceNow, OpenText, BMC, Boomi, and Red Hat. —  A Berlin-headquartered firm with genuine regional depth — offices in Riyadh, Dubai, Cairo, and Casablanca, and an offshore delivery model that lets you focus on what matters most: the client. —  Direct visibility and access to senior leadership — your impact on client outcomes is seen and valued, not buried in a large delivery hierarchy. —  A culture that rewards ownership: you scope it, you lead it, you're credited for it.

Location: Munich, Germany; Berlin, Germany What client look for: You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions. You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases. You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact. You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance. You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement. You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems. You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment. You actively contribute to the evolution of our data strategy, tooling, and best practices within Client. Requirements What the client requires: You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field. You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation. You have hands-on experience in building and managing ETL/ELT pipelines and data workflows. You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks. You ensure data quality, observability, and monitoring as integral parts of your solutions. You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You have strong communication and presentation skills, and can explain complex topics clearly. You speak English fluently; regional languages are an advantage. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: Munich, Germany; Berlin, Germany What client look for: You apply statistical, machine learning, and Generative AI techniques to solve business problems and generate actionable insights. You analyse and synthesise complex datasets, incorporating unstructured data and GenAI outputs into clear visualisations and narratives. You collaborate with cross-functional teams and clients to design data-driven and GenAI-enabled solutions. You build, test, and deploy models, including prompt-based and LLM-powered applications. You translate analytical and Generative AI outputs into actionable recommendations for stakeholders. You guide less experienced team members and contribute to best practices in analytics and AI. Requirements What the client requires: You hold a Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, or Engineering. You have 2–6 years of experience in data science, machine learning, or advanced analytics, including exposure to Generative AI. You have strong programming skills in Python and are familiar with ML and LLM frameworks such as Scikit-learn, LangChain, or Hugging Face. You have a solid understanding of machine learning techniques and Generative AI use cases. You are able to work in client-facing environments and communicate complex topics clearly. You are fluent in English; additional local language skills are a plus. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.