Вакансии

Location: Dhahran, Saudi Arabia Job Summary We are seeking a skilled and experienced Full Stack Developer with 5–6 years of experience in modern web application development. The ideal candidate will have strong expertise in ReactJS, TypeScript, Node.js, REST APIs, and Authentication mechanisms . The candidate will be responsible for designing and developing scalable enterprise applications, including dashboards, inventory management modules, approval workflows, analytics visualizations, and user management features. Key Responsibilities Design, develop, and maintain scalable and high-performance web applications. Build responsive and user-friendly interfaces using ReactJS and TypeScript . Develop robust backend services and APIs using Node.js . Design and consume RESTful APIs for seamless integration between front-end and back-end systems. Implement secure authentication and authorization mechanisms. Develop modules such as: Dashboards and reporting screens Inventory management applications Approval and workflow management systems Analytics and data visualization components User and role management functionalities Collaborate with cross-functional teams, including Product Owners, UI/UX designers, and QA teams. Ensure application performance, scalability, security, and reliability. Participate in code reviews, testing, troubleshooting, and production support activities. Follow software development best practices, CI/CD processes, and coding standards. Requirements Must-Have Skills 5–6 years of experience in full-stack web application development. Strong hands-on experience with: ReactJS TypeScript Node.js REST APIs Authentication and authorization mechanisms Experience in developing enterprise-grade applications. Strong understanding of software design principles and application architecture. Experience with version control systems such as Git . Good-to-Have Skills Experience with Next.js . Knowledge of SSO, OAuth 2.0, and OpenID Connect (OIDC) . Experience in building responsive web applications . Hands-on experience with Docker and containerization technologies. Familiarity with CI/CD pipelines and DevOps practices. Experience with analytics and data visualization libraries/frameworks. Exposure to enterprise workflow and approval systems. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. Strong analytical, problem-solving, and communication skills. Ability to work effectively in a fast-p

Location: Dhahran, Saudi Arabia Muller's Solutions is seeking an experienced Data Engineer with 5–6 years of experience in designing, developing, and maintaining scalable data solutions. The ideal candidate should possess strong expertise in Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development . The candidate will play a key role in building robust data pipelines, processing large datasets, and supporting business-critical applications related to inventory optimization, master data management, and backend services. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion and processing. Build and optimize data workflows using Apache Airflow . Develop and maintain data processing solutions using Python , Pandas , and NumPy . Design and optimize complex SQL queries and data models in BigQuery . Develop and integrate APIs to support data exchange between systems. Implement data ingestion frameworks from various internal and external sources. Perform data cleansing, transformation, and validation to ensure data accuracy and consistency. Develop and maintain processes for master data management . Support inventory optimization initiatives by implementing data processing and business logic. Build and maintain backend services that enable data-driven applications. Monitor and troubleshoot data pipelines to ensure reliability and performance. Collaborate with cross-functional teams, including Product, Analytics, and Engineering teams. Ensure adherence to data governance, security, and best practices. Requirements Technical Requirements Must-Have Skills 5–6 years of experience in Data Engineering or related roles. Strong hands-on experience with: Python Pandas NumPy Apache Airflow Google BigQuery SQL API development and integration Experience in designing and implementing scalable ETL/ELT pipelines . Strong understanding of data modeling, data transformation, and database concepts. Experience working with large-scale datasets and optimizing query performance. Proficiency with version control systems such as Git . Good-to-Have Skills Experience with PySpark and distributed data processing. Basic understanding of Machine Learning concepts and workflows . Familiarity with data quality frameworks and data validation practices. Experience with Docker and containerization technologies. Knowledge of CI/CD pipelines and DevOps practices. Experience working in cloud-based data environments. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Experience working on enterprise-scale data platforms and data-driven applications.

Location: Los Angeles, United States; California City, United States; Orange, United States About LBC Mortgage LBC Mortgage is a Los Angeles–based mortgage company with over 20 years of industry experience . Alongside our traditional mortgage business, we operate a fast-growing Private Money / Hard Money Lending Division , focused on funding real estate investment loans with speed, accuracy, and strong risk management. We are looking for a skilled Hard Money Underwriter who understands private lending, can underwrite deals quickly, and make confident decisions that protect the company while keeping production moving. Responsibilities Underwrite Hard Money / Private Money loans (Fix & Flip, Bridge, DSCR, Cash-Out, Ground-Up, etc.) Review loan files and borrower documentation (credit, assets, entity docs, income where applicable) Analyze property details, exit strategies, deal structure, and overall risk Calculate and validate LTV, ARV, LTC , rehab budgets, and timelines Review appraisals, comps, and market data to confirm property value and feasibility Issue approvals and conditions, ensuring fast and clear communication with the team Work closely with Loan Officers, Processors, and Management to move loans efficiently Identify red flags early and provide clear recommendations Ensure adherence to internal guidelines and lending policies Requirements 2+ years of underwriting experience in Hard Money / Private Lending (required) Strong understanding of Fix & Flip and Bridge loan underwriting Ability to evaluate ARV-based deals , rehab scopes, and budgets Strong knowledge of appraisals, title reports, insurance, and entity structures Strong attention to detail and ability to work in a high-volume, fast-paced environment Excellent communication skills and ability to make confident decisions Preferred Qualifications Experience underwriting DSCR and rental investment loans Experience with Ground-Up Construction loans Familiarity with Encompass or other mortgage/loan CRM systems Strong knowledge of investor real estate lending across multiple states Why Join LBC Mortgage Established company with strong leadership and long-term stability Growing private lending division with strong pipeline Opportunity for career growth into Senior Underwriter / Underwriting Manager role Competitive compensation based on experience Remote flexibility and supportive team environment

Location: Los Angeles, United States; California City, United States About LBC Mortgage LBC Mortgage is a Los Angeles–based mortgage company with over 20 years of industry experience . Alongside our traditional mortgage business, we operate a fast-growing Private Money / Hard Money Lending Division , focused on funding real estate investment loans with speed, accuracy, and strong risk management. We are looking for a skilled Hard Money Underwriter who understands private lending, can underwrite deals quickly, and make confident decisions that protect the company while keeping production moving. Responsibilities Underwrite Hard Money / Private Money loans (Fix & Flip, Bridge, DSCR, Cash-Out, Ground-Up, etc.) Review loan files and borrower documentation (credit, assets, entity docs, income where applicable) Analyze property details, exit strategies, deal structure, and overall risk Calculate and validate LTV, ARV, LTC , rehab budgets, and timelines Review appraisals, comps, and market data to confirm property value and feasibility Issue approvals and conditions, ensuring fast and clear communication with the team Work closely with Loan Officers, Processors, and Management to move loans efficiently Identify red flags early and provide clear recommendations Ensure adherence to internal guidelines and lending policies Requirements 2+ years of underwriting experience in Hard Money / Private Lending (required) Strong understanding of Fix & Flip and Bridge loan underwriting Ability to evaluate ARV-based deals , rehab scopes, and budgets Strong knowledge of appraisals, title reports, insurance, and entity structures Strong attention to detail and ability to work in a high-volume, fast-paced environment Excellent communication skills and ability to make confident decisions Preferred Qualifications Experience underwriting DSCR and rental investment loans Experience with Ground-Up Construction loans Familiarity with Encompass or other mortgage/loan CRM systems Strong knowledge of investor real estate lending across multiple states Why Join LBC Mortgage Established company with strong leadership and long-term stability Growing private lending division with strong pipeline Opportunity for career growth into Senior Underwriter / Underwriting Manager role Competitive compensation based on experience Remote flexibility and supportive team environment

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: New York Workplace: OnSite ABOUT ARCA Arca is a wealth management firm built from the ground up with AI. Most people get financial advice that's reactive: an annual check-in, a plan that's a document instead of a living thing, a relationship where you're one of three hundred clients your advisor is trying to remember. We think that's backwards. The kind of service that used to require a team of specialists behind you, the kind that makes you feel like the only person in the room, should be available to far more than the ultra-wealthy. So we're building it. We're not SaaS — we are the wealth management business, rebuilding it from the inside with AI. Our platform is an Iron Man suit for advisors: it takes over the low-leverage work so they can focus on what actually requires a human, showing up with empathy, context, and judgment. Underneath, it keeps a living understanding of each client. It remembers the thing you mentioned once, six months ago. It notices when your life changes — a new job, a new kid, a market shift — and adjusts before you think to ask. You won't see the technology. You'll just notice your advisor seems to know you better than any financial professional ever has. That's the product we're growing: client by client, on the strength of the experience itself. We started by acquiring firms managing over $1B in client assets, which gave us real advisors, real clients, and real financial outcomes to build against from day one. But acquisition was the starting line. The bet is that an advisor backed by this platform delivers something good enough that clients come to us on their own. It's a $20T market, and we think it's ready to be rebuilt. — Rron, CEO THE RECEIPTS - Stage: Series A, $64M raised - Backed by: General Catalyst, Index Ventures, Venrock - Board & Advisors: Former CEO of Vanguard, Former CFO of Schwab, Founder of Altruist, Morgan Housel (author of The Psychology of Money) THE TEAM We’re small on purpose and engineering heavy: about 80% of the team is technical. We’re based in NYC and hail from high growth startups like Stripe, Ramp, Rippling, Plaid, Doordash, & Glean. We’re fully in-office in Flatiron, five days a week—lunch together, coffee breaks, basketball games, happy hours. THE ROLE As a Member of Corporate Development focused on M&A, you're a key part of Arca's growth engine. We grow by acquiring RIAs — typically ~$500M-to-$2B+ AUM firms led by a founder thinking carefully about their next chapter — and putting our platform underneath them. Your job is to find those firms, build real relationships with the people who run them, and carry deals from the first coffee to close. For a founder deciding what happens to the firm they spent a career building, you're the person they come to trust to get them there. This is a high-ownership seat with a direct line to the Head of M&A and senior leadership. You own relationships, you shape the pipeline, and you see your work in every firm we bring on. Acquisition is how the whole company grows, so the deals you close set the pace for everything else. WHAT YOU'LL OWN - Sourcing and relationships. You cultivate proprietary relationships with RIA founders and principals, building a pipeline of ~$500M-to-$2B+ AUM targets and becoming someone they trust long before they're ready to transact. The long game is the job. - Deals, end to end. Outreach, qualification, valuation, diligence, structuring, close. You don't hand a deal off at some stage — you carry it through. - The analysis behind the call. You build the financial models and valuation work that shape deal terms and the go/no-go decisions, and you have a real point of view on what a firm is worth. - Diligence across the company. You coordinate workstreams across finance, legal, compliance, and operations to get deals over the line. - The acquisition playbook. As we scale to four or five acquisitions this year and more after, you sharpen how we source and how we close — your fingerprints on how the company grows. THE KIND OF PERSON WHO THRIVES HERE You're excited by ownership, ambiguity, and building things that matter. - You source deals and close them. You've spent 2+ years in private equity or corporate development with hands-on experience finding and evaluating acquisition targets — not just modeling deals someone else sourced. You know what a real pipeline looks like and how to build one. - You play the long game with founders. You're a people person, and you mean it — you're energized by building relationships and earning trust over months, not transactions. A founder deciding the fate of their firm can tell the difference between someone who's there to help and someone who's there to close, and you're the former. - You can read a firm and price it. Sharp financial modeling, valuation, and analytical skills, paired with the commercial judgment to know what the numbers actually mean for a deal. - You're a self-starter who finishes. You take ownership, move fast, and don't wait to be told what to do. In an early-stage company where a lot of the playbook isn't written yet, you write it. - You're AI-pilled and curious about this industry. You're excited by what AI makes possible and by the chance to help rebuild wealth management with it. Familiarity with the RIA or wealth management landscape is a plus, not a requirement. - You're someone people actually want to be in the room with. This is a small, tight-knit team in one office, five days a week, working on problems that don't have clean answers. Kind, direct, and low-ego, you can give candid feedback without being an asshole, and you're genuinely energized by this environment (not just tolerant of it). WHY NOW IS THE MOMENT TO JOIN This is a narrow window with unusually high leverage. - We just came out of stealth, and we're growing fast. The team is intentionally small, the equity reflects that, and the ceiling is high. You'd be joining early enough that the work you do now directly shapes what the company becomes and what's possible next. - The advisor-facing product is being defined right now, by a small team that talks to advisors every day. We've just brought on our second firm—the real inflection point, where we start separating what generalizes from what was bespoke. The patterns you set become the foundation for every acquisition that follows. - The consumer product is a blank page. We've never built directly for consumers until now—no legacy, no template. Whoever takes this on defines what the experience even is. - The hard part is behind us, which means the interesting part is starting. The platform is live, the concept is proven, advisors have moved real client assets onto it. The work now is scaling a working system across four or five acquisitions this year—workflows, data, agents, reliability under real load.

Инновационная AI-платформа анализа геополитических и рыночных данных в реальном времени, обрабатывающая информацию из более чем 2000 первоисточников на разных языках (китайский, арабский, русский и др.). О роли: Мы ищем опытного Senior Java-разработчика, который возглавит масштабирование и оптимизацию нашего ядра агрегации данных. Вам предстоит проектировать высоконагруженные пайплайны, которые в реальном времени собирают миллионы текстовых данных, отправляют их на обработку нашим AI-моделям трансляции и анализа сентимента, а затем мгновенно доставляют инсайты клиентам. Основные задачи: • Проектирование архитектуры: Разработка масштабируемых, отказоустойчивых бэкенд-сервисов на Java; • Потоковая обработка данных (Stream Processing): Оптимизация систем сбора новостей и рыночных метрик в реальном времени; • Интеграция с AI/ML: Разработка эффективных API-прослоек для интеграции Java-сервисов с внутренними языковыми моделями (LLM) и инструментами NLP (перевод, извлечение сущностей, анализ тональности); • Оптимизация производительности: Поиск «узких мест» (bottlenecks), оптимизация работы с базами данных, снижение задержек (low-latency processing). Наш технологический стек: • Язык: Java 17+ (Spring Boot / Spring Cloud); • Big Data & Streaming: Apache Kafka / Pulsar, Apache Flink / Spark Streaming; • Базы данных: NoSQL (Elasticsearch/OpenSearch для мультиязычного поиска, MongoDB), SQL (PostgreSQL), Кэширование (Redis); • Инфраструктура: AWS (EC2, S3, EKS), Docker, Kubernetes, CI/CD pipelines. Что мы ждем от кандидата: • Опыт: От 5-6 лет коммерческой разработки коммерческого ПО на Java; • Highload: Уверенные знания concurrency, многопоточности и проектирования систем распределенных вычислений; • Работа с данными: Глубокое понимание принципов работы очередей сообщений (Kafka) и поисковых движков (Elasticsearch); • Язык: Английский язык на уровне Upper-Intermediate (B2) и выше для ежедневной коммуникации с распределенной международной командой; • Плюсом будет: Опыт работы в FinTech / RegTech проектах, парсинге веб-ресурсов или интеграции ML-моделей в продакшн (MLOps). Что мы предлагаем: • Гибкость: Полностью удаленный формат работы из любой точки мира; • Технологически сложный продукт: Работа на стыке Big Data, AI и глобальной рыночной аналитики; • Влияние на продукт: Минимум бюрократии, плоская структура и возможность напрямую влиять на архитектурные решения; • Профессиональный рост: Оплата профильного обучения, курсов и участия в международных конференциях; • Пакет: Конкурентная заработная плата (по результатам технического интервью) + опционы компании (Equity) для ключевых сотрудников.

Location: Phoenix, AZ US Building and maintaining our nation’s energy infrastructure is both an opportunity and a responsibility.  Whether in a rural or urban environment or a hot or cold climate, Michels Energy Holdings, Inc. is trusted by our customers to deliver reliable and diverse energy options.  We do it all – from electrical power lines to oil and gas pipelines, from backbone transmission systems to in-town distribution networks.  Our work improves lives.  Find out how a career at Michels Energy Holdings, Inc. can change yours. As a Health, Safety, and Environmental Coordinator, your key responsibilities will be to perform job-site visitations, audits, incident investigations, and emergency response for Michels Pipeline, Inc. You will also assist operations with compliance and communication of existing HSE programs by performing meetings, trainings, and new hire orientations. This position requires 75-85% travel. Why Michels Energy Group, Inc.? Engineering News-Record ranks us as the No. 1 Pipeline (Petroleum) and No. 1 Electrical Transmission/Distribution Contractor We believe everyone is responsible for promoting safety, regardless of job title We are family owned and operated We invest an average of $5,000 per employee on training each year We always put safety and quality above speed We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan.  Depending on your positions and location you may participate in a different benefit plan. Why you? You like to surround yourself with dedicated, value-driven people You believe there is a solution to every challenge – and you can find it You understand the importance of small details on large projects You like to know your efforts are noticed and appreciated You want to make your own decisions, but know support is always available You want to work to make a difference in people’s lives What it takes? Previous experience with power utility 5-10 years of field experience (desired) Board of Certified Safety Professionals Credentialing (desired) A valid driver license for the type(s) of vehicles you may be driving and an acceptable driving record Ability to work a flexible and varied work schedule, including nights and weekends Ability to travel frequently and for extended periods of time #LI-RB1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Senior Staff Software Engineer to join the OEX Mobile Growth team — a pure mobile team sitting at the intersection of engineering rigour, consumer growth craft, and product instinct. This is not a feature delivery role. You will sit upstream of requirements, shape initiatives alongside product and business stakeholders, and own the engineering end-to-end on growth bets that move real metrics for millions of users. The ideal profile combines a solid engineering foundation, hands-on growth experience serving mobile users, and the conviction to bring proposals, not just execute them. What You'll Be Doing Own the full engineering lifecycle of mobile growth initiatives - from shaping the brief with product and business through to production launch and iteration. Build and optimise growth systems - including funnel instrumentation, referral mechanics, acquisition loops, and experiment frameworks — directly serving the mobile user base. Collaborate closely with Product Manager, Business Development, and local market teams across multiple regions to translate commercial goals into concrete, data-backed engineering proposals. Apply AI coding tools actively in your workflow to accelerate development, improve code quality, and bridge across tech stacks where needed. Drive technical decision-making on growth infrastructure, articulating trade-offs clearly and defending or revising your positions based on evidence. Mentor engineers on the team and help establish a culture where engineers bring solutions, not just responses. What We Look For In You 8+ years of software engineering experience with a track record of shipping production-quality systems at scale. Hands-on growth engineering experience — funnel optimisation, experiment frameworks, acquisition or referral systems — in a consumer-facing (ToC) product context. Understanding of mobile users: how they behave, what drives retention and conversion, and how mobile-native growth mechanics differ from web. Actively uses AI tools as a core part of your engineering workflow — not just for code generation, but for building repeatable workflows and bridging across stacks. Outspoken and proposal-driven: you come to the table with a point of view, push back when you disagree, and bring data and a counter-proposal rather than just flagging concerns. Strong cross-functional communication — comfortable working with Product Manager, Business Development, and local markets to align on goals and hold the line on engineering quality. Data instincts: you think in funnels, know how to instrument what matters, and use metrics to drive decisions. Nice-To-Haves Mobile development experience in iOS (Swift/Objective-C) or Android (Kotlin/Java) — or backend experience building growth systems that serve mobile apps directly (e.g. growth APIs, attribution pipelines, notification infrastructure). Experience with Rust or other systems languages — especially candidates who have recently migrated from mobile-native stacks and are building fluency in backend tooling. Depth in mobile attribution and MMPs (AppsFlyer, Adjust, SKAdNetwork). ASO operational experience (App Store Connect, Google Play Console). Experience building referral systems, k-factor mechanics, or anti-fraud layers. Background in fintech, crypto, or regulated consumer financial products. Experience operating across US, EEA, and APAC markets. A/B experiment framework ownership at meaningful scale. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Brasilia; Sao Paulo; Mexico City; Bogotá; Santiago; Montevideo; Asunción; Guatemala City; Sucre; Lima; San José; Panama; Buenos Aires; Alabama; San Salvador Workplace: remote Candidate will focus on bringing new opportunities for enterprise voice & SMS, preferably focusing on LATAM market.   Focus on bringing new enterprise Voice & SMS opportunities, focusing on the LATAM market. Identify, strategize, pursue, and create new business opportunities in the assigned region. Create an active and healthy pipeline of opportunities and meet sales goals in line with the overarching sales strategy. Learn & become subject matter experts of IDT’s products and services and educate prospects in making buying decisions. Understand the client’s ecosystem and explore how IDT’s products fit their requirements. Show professionalism, courtesy & confidence in every interaction. Navigate tools, including CRM applications and internal systems. Efficiently manage your time and always put the customer experience first. Collaborate with the sales leadership team and peers to determine the best sales strategies Successfully transition converted opportunities to the account management team. Liaise with the marketing team to create effective marketing strategies Bring your A-game & close sales. Requirements: Fluency in English & Portuguese is a must. Fluency in Spanish is a plus. 1-5 years of sales experience, preferably in a B2B SMS based arena. Graduate degree or equivalent required. Strong communication and presentation skills, and excellent relationship-building skills. Ability to prioritize the day and manage multiple sales stages. Self-motivation to drive metrics, results, and key performance indicators (KPIs) CRM experience is a plus Sales experience should be in the SaaS or digital space

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: Sydney, Australia At Riot, we believe in putting players first. Our Sydney-based team is partnering globally to build next-generation features and technology on an exciting Unpublished R&D Title. The team focuses on supporting the game's visual targets and content production needs - helping our artists to realize a vibrant and rich world for players to be immersed and express themselves in. As a Manager, Technical Art, Tools & Pipeline, you'll help define and scale the creative workflows that power content creation across our next generation of worlds. You'll lead and grow a team of talented technical artists, providing hands-on coaching, clear direction, and thoughtful feedback that elevates both craft and collaboration. By partnering closely with Art Leadership, Technical Art, Production, and Engineering, you'll help shape the tools, pipelines, and workflows that enable artists to create high-quality content efficiently and at scale. As a Manager, Technical Art, you'll own the artist-facing ecosystem of tools and content pipelines, ensuring workflows are intuitive, documented, and built to support evolving production needs. You'll work closely with Engineering and cross-disciplinary partners to identify opportunities for workflow improvements, evaluate new technologies, and establish scalable systems that empower artists across multiple disciplines including Character Art, Animation, Environment Art, Audio, and VFX. From pipeline architecture to workflow optimization, you'll help ensure content creation systems support both immediate production goals and the long-term needs of the project. As a strategic cross-disciplinary partner, you'll communicate priorities, risks, and opportunities with clarity while helping teams make sustainable technical decisions that maximize creative impact. You will report into the Senior Manager, Technical Art and work closely with the Tech Art Director and other members of the team abroad. Responsibilities: Directly manage a team of Technical Artists, providing support, coaching, mentorship, and guidance in how they conduct their work. Partner with Art Leadership, Production, and Engineering to define tooling, workflow, and pipeline requirements needed to support content creation across multiple disciplines. Own and support artist-facing tools, workflows, and content pipelines, ensuring systems are intuitive, documented, scalable, and maintainable. Work closely with Engineering to evaluate technical solutions, balancing artist usability, production efficiency, and long-term sustainability. Guide the development and optimization of content creation pipelines that support teams working in parallel production streams. Support the evolution of existing tools, workflows, and pipeline systems as project needs change and scale. Build strong cross-disciplinary relationships to understand artist needs, identify workflow pain points, and drive meaningful improvements. Champion technical best practices, workflow consistency, and knowledge sharing through documentation, training, and mentorship. Partner with Technical Art leadership to establish team goals, craft standards, and long-term technical strategy. Communicate constraints, risks, and opportunities clearly to stakeholders, helping guide prioritization and technical decision-making. Required Qualifications: 6+ years of professional experience as a Technical Artist in games or a related industry, including 2+ years in a people management role leading Technical Artists or similar technical disciplines. Demonstrated experience leading, mentoring, and developing technical teams while fostering strong cross-functional collaboration. Strong proficiency in Python and experience developing scalable artist tools, content pipelines, and workflow solutions for game development. Professional experience with Unreal Engine 5 and modern content creation workflows, including content creation and tool development for DCC tools, with particular emphasis on Autodesk Maya and Substance Suite workflows. Experience with Houdini, Blender, ZBrush, 3DS Max, or Photoshop is a plus. Strong understanding of art production pipelines and the ability to translate artistic requirements into scalable technical solutions that support multiple disciplines and production needs. Proven experience partnering closely with engineers to develop tools, workflows, or pipeline systems that improve content creation efficiency and support artistic goals. Excellent communication, critical thinking, and problem-solving skills, with the ability to navigate ambiguity and act as a bridge between art and engineering. Desired Qualifications: Experience designing scalable pipeline architecture and workflow solutions for large content teams. Experience supporting character, animation, environment, audio, or VFX production workflows. Experience with UI development frameworks such as PySide or PyQt. Experience contributing to or supporting content creation efforts during early-stage, R&D, or transitional production phases. Curiosity around how AI-assisted workflows may improve content production efficiency and artist experience. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: At Riot we strongly believe in work / life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have co-op gaming areas, a play fund so you can broaden and deepen your knowledge of players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also: Medical Insurance that covers you and your dependents Employee Assistance Program Wellness fund Donation matching of time and money to registered charities Learning and Development opportunities At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

Location: Budapest, Hungary Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a Client Partner to join our team in Budapest!   As a Client Partner, you will play a key role in driving commercial growth and expanding Aleph’s footprint in Hungary, directly contributing to revenue generation, portfolio expansion, and long-term strategic client partnerships. This is a revenue-driven, commercially focused role responsible for owning a book of business, identifying new growth opportunities, and positioning Aleph as a strategic partner within the digital advertising ecosystem. What You’ll Do Develop and grow your own portfolio of clients – prospect, network, pitch, and close deals. Build trusted relationships with decision-makers at performance agencies and key merchants. Educate clients on the power of Google Ads and how it can grow their business. Take ownership of your pipeline, sales targets, and reporting. Collaborate with Sales Directors, Marketing, and cross-functional teams to drive success. Shape local go-to-market strategies and solve challenges proactively. Represent our brand at industry events, meetings, and conferences. What You Need For This Role Experience in digital advertising or media sales (around 2–3 years) – if you’ve worked with agencies or performance campaigns, even better. Strong relationship-building skills – you’re confident reaching out to new leads and driving conversations. Curiosity and interest in online advertising, analytics, and digital trends. You work well independently and can manage multiple opportunities at once. Fluent in English and Hungarian. What Will Make Us Really Love You You’re not afraid of cold outreach and starting new conversations. You can consult on advertising performance and reporting. You have experience balancing multiple sales cycles and working towards clear targets. You bring creative ideas to solve challenges and improve the client experience. You genuinely enjoy being part of something new and fast-growing. What You’ll Love About Us Freedom to create, grow, and make your role your own. A supportive, international, and diverse team that values open collaboration. Access to world-class training and workshops to accelerate your digital advertising skills. A flexible hybrid work model to support your work-life balance. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is HUF 8,658,160. In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.  Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

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: 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: South Africa; Ethiopia; Morocco; Pakistan About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the company Our client is an established property management and estate agency based in Manchester, specializing in the residential and commercial sectors. With over 20 years of experience in the local market, the team manages an extensive portfolio of more than 800 properties, ranging from luxury professional apartments to dedicated student housing and commercial lettings. They pride themselves on a bespoke approach to property management, focusing on achieving high yields for landlords while providing modern, high-quality living spaces for tenants across key urban hubs. The team has crafted a unique, results-driven way of working that prioritizes market expertise and a hassle-free experience for their diverse clientele. Operating with a focus on growth and efficiency, they offer a collaborative environment where local knowledge meets a commitment to service excellence. This is an excellent opportunity to join a stable yet forward-thinking property firm that remains a prominent fixture in the North West’s competitive real estate market. Job Type: Full-time (GMT 9:00 AM – 5:00 PM) Job Summary As the first point of contact for a thriving Manchester-based real estate agency, you will play a critical role in driving the growth of our residential and commercial portfolios. This role is more than just answering phones; it is about being the engine of our sales pipeline. You will be responsible for qualifying high-intent leads, managing major property portal enquiries, and ensuring every prospective buyer, seller, landlord, and tenant receives a world-class experience from their very first interaction. Key Responsibilities Act as the professional first point of contact for all inbound calls and digital enquiries. Manage and respond to listing leads from Rightmove, Zoopla, OnTheMarket, and SpareRoom. Qualify prospects effectively to determine their needs and urgency before booking viewings, valuations, or consultations. Manage the team’s Google Calendar, ensuring all appointments are scheduled accurately. Maintain a structured CRM, segmenting leads into Hot, Warm, and Cold categories. Proactively follow up with unconverted opportunities and re-engage dormant leads in the database. Support email and SMS nurturing campaigns to keep the brand top-of-mind for property investors and professionals. Track and report on pipeline performance, ensuring zero missed enquiries. Requirements Proven experience in Lead Qualification and Appointment Setting. Previous experience within the Real Estate or Property industry. Exceptional English communication skills with a professional and confident phone manner. High proficiency in CRM management and data entry. Expert-level command of Google Workspace (Calendar, Drive, Docs) and Microsoft Office. Strong organizational skills with the ability to manage high enquiry volumes independently. A proactive "follow-up" mentality and extreme attention to detail. Nice-to-Haves Familiarity with the Manchester property market. Experience in managing multi-channel lead generation (phone, email, and property portals). Background in customer service or front-desk support in a fast-paced environment. Benefits 🌎 Fully remote role 🎯 Performance-driven culture with clear KPIs and advancement pathways