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Location: Abu Dhabi, United Arab Emirates We Are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role Due to continued growth and demand, EnerMech are expanding our existing team with the addition of a Business Development Manager. This is a permanent role, reporting to the VP for Growth and will support our Lifting Solutions Business Line for the Middle East region. Our Lifting Solutions business delivers a full suite of crane services, including maintenance, operations, spares management, crane management, overhaul, and design & engineering. It also includes the delivery of cutting-edge inspection services for cranes and lifting systems. The role will be responsible for identifying, pursuing and securing profitable commercial opportunities for EnerMech whilst strategically positioning EnerMech as the trusted partner for leading customers in the industry. Responsibilities Lead customer identification and engagement to win new business opportunities aligned with the corporate strategy, agreed business plan(s) and the Business Forecasting Tools (BFTs) Develop a reliable and visible pipeline of project opportunities (sales funnel) across the full BD life-cycle (customer ‘mapping', lead generation, opportunity qualification, opportunity pursuit and capture as well as on-going account management and forecasting) Provide input into opportunity qualification, win strategies, commercial discussions with direct input into and business development leadership of bids Represent EnerMech to customers, partners and to the wider market at industry events, through thought leadership and via external strategic marketing campaigns Harness and champion multiple areas of EnerMech's capability (technical or geographic) to achieve better outcomes (cross selling) Be actively involved in work winning throughout the entire bid process (identification to award and including post award) and in particular be involved in the win strategy for any bid as required through the provision of critical input Requirements To be successful in the role you will ideally have a background within the Lifting Solutions industry and be established from a client/customer perspective. You will also have demonstrable experience in developing and implementing target customer pursuit and key account plans. You will be someone who generates new ideas and is good at turning concepts into practical solutions as well as having an entrepreneurial mind, who identifies opportunities before being asked. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.

Location: Warsaw, Poland Dentons Business Services EMEA is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration. Job purpose This role is responsible for quality of data used by Finance Departments in Elite 3E, managing daily workload and tasks in area of financial master data (clients, matters, fee earners) and time recording areas. This role plays an important role in increasing results and time recording process effectiveness with standardization and automation through reporting and fee earner chasing to complete missing time. This role provides support for Finance Data Administration Team and other processes within Revenue Operations. Key responsibilities Fee Earners’ accounts activation, termination and maintenance in Elite 3E Matter maintenance and updates in Elite 3E including requests received via Intapp Open, correction based of error notifications (DQM), currency, location, Billing Fee Earner, rate changes     and others Clone and non-billable matters creation Support with various reports preparation Verification of Time Recorded and Released Monitor and quality check of data (Matter, Fee Earner, Clients and timecards) Cooperation with other team members and departments, and collect regular feedback Working towards quality standards Support in assigned campaigns, initiatives and internal projects Comply with the firm's policies, internal procedures, and any other legal obligations, and effectively address risks to the firm where those risks relate to this role Assistance in resolving client queries Requirements Education Bachelor’s degree required Preferred fields of study: Business Administration, Finance, Accounting, Economics, Human Resources or Quality Control Experience 0-1 years of professional experience Skills and competencies Intermediate proficiency in written and spoken English Intermediate proficiency in Microsoft Excel and basic proficiency in Microsoft Word Analytical skills Knowledge of Elite 3E, IntApp Open, IntApp Time and Time Policy Manager would be an asset Benefits Private medical healthcare provided by Medicover MultiSport card Benefit Cafeteria system Option to join a private insurance plan An additional day off for your birthday Tailored learning & development opportunities Hybrid work model with a modern office in Warsaw city center

Location: Warsaw, Poland Dentons Business Services EMEA is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration. At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability. Role Overview: We are seeking a motivated Cash Collection Specialist with 2+ years of experience. The ideal candidate will have financial knowledge, excellent problem-solving skills, and the ability to work independently while supporting and collaborating with team members. Responsibilities Manage the day-to-day cash collection process while delivering excellent customer service. Perform cash allocation activities accurately and efficiently. Resolve client queries, monitor KPIs, and collaborate with Partners. Ensure compliance with company policies, maintaining high quality standards and service excellence. Work closely with local Finance teams and various stakeholders. Monitor assigned accounts and escalate complex issues when necessary. Requirements Minimum 2 years of experience in cash collection. Advanced English and French proficiency. Intermediate Excel skills (data extraction and analysis). Strong teamwork and collaboration skills. Excellent organizational and time management abilities. Strong problem-solving skills. Advanced customer service and interpersonal skills. Benefits Private medical healthcare provided by Medicover MultiSport card Benefit Cafeteria system Option to join a private insurance plan An additional day off for your birthday Tailored learning & development opportunities Hybrid work model with a modern office in Warsaw city center

Location: Philippines Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Junior/Middle DevOps Engineer - Monitoring Support to join our team and provide exceptional customer support. Role Overview: This role focuses on production monitoring and first-line operational support during assigned shifts. The engineer will stay available throughout the shift, monitor alerts/Jira, follow predefined instructions, escalate incidents when needed, and perform actions such as checks or service/server restarts. The working hours are 00:00–09:00 CET, including weekend shifts when required. About the project: The project is a cybersecurity platform that consolidates vulnerability, threat, and asset data to help organizations identify, prioritize, and remediate critical security exposures. It integrates data from a wide range of security tools and provides centralized capabilities for risk-based vulnerability management, workflow automation, and scalable exposure management. Responsibilities: Monitor production systems during assigned shifts React to alerts, incidents, and system issues Support AWS-based cloud runtime infrastructure Investigate issues using monitoring and logging tools Perform occasional DevOps and infrastructure support tasks Support CI/CD pipelines and deployment processes Maintain and troubleshoot Linux-based environments Support web server, process control, and application runtime configurations Work with dashboards, metrics, logs, and alerting systems Support infrastructure and application security practices Document incidents, actions taken, and system changes when needed Requirements Junior to Middle-level experience in DevOps, SRE, Linux administration, cloud operations, or infrastructure/production support Basic experience with AWS EC2 Basic understanding of monitoring tools such as Grafana, Prometheus, and Loki Linux administration skills Basic scripting experience with Bash, Python , or similar tools Understanding of CI/CD pipelines Experience with Git-based tools, preferably Bitbucket Ability to follow predefined instructions and escalate issues properly Responsible approach to monitoring and incident handling Availability to work during European business hours English level: upper-intermediate

Location: United States How We Build Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk. Our Tech Stack Ruby on Rails AWS Sidekiq MySQL Redis What the Role Is Babylist's Platform team is the foundation every engineering team builds on — and this role is at the center of keeping it reliable, fast, scalable, and secure. As a Staff SRE, you'll own the infrastructure and reliability practices that support 9 million+ users and the engineers who build for them. You'll bring strong software engineering skills and experience building security into production systems, turning that experience into code, automation, and secure defaults. You'll evolve our AWS infrastructure, CI systems, and developer tooling as Babylist grows across e-commerce, registry, health, media, and mobile. You'll share the team's core SRE responsibilities and bring particular depth in security engineering, leading security improvements alongside reliability, developer experience, and platform initiatives. Who You Are Strong software engineering skills — you've shipped and operated production-quality tools or services, with tests, code review, and maintainable interfaces Experience building security into production systems — you've personally designed, implemented, and operated controls for access, workload identity, secrets, or network isolation Deep hands-on Terraform expertise — you own IaC, not just contribute to it Proven AWS experience at scale — EKS, RDS, cloud networking, DNS, CDNs, load balancers — you know the gotchas Experienced operating Kubernetes in production — you've debugged the hard stuff, not just deployed the easy stuff Comfortable designing and improving CI/CD systems — CircleCI, GitHub Actions, or similar; you care about developer velocity, not just pipeline uptime Strong observability instincts — Datadog, Sentry, PagerDuty, Cronitor — you build alerting that's actionable, not noisy Experienced with on-call and incident management — you've run the post-mortems and actually changed things afterward Comfortable supporting developers across local, staging, and production — you're a resource, not a gatekeeper You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. How You Will Make An Impact Infrastructure ownership — manage and evolve our AWS environment using Terraform, keeping EKS clusters, databases, and core services current, performant, and secure Software and automation — ship tested tools and services with runbooks and self-service workflows that other engineers can adopt and operate Secure infrastructure defaults — build versioned, tested Terraform modules for least-privilege access, secrets, and workload isolation, with automated checks for configuration drift CI/CD reliability — keep delivery fast and dependable across Engineering, integrating dependency and container scanning, secret detection, and short-lived deployment credentials Developer support — be the person engineers turn to when environments break; unblock them fast across local, staging, and production Monitoring & alerting standards — define service-level objectives (SLOs) and actionable alerting with engineering teams, using incident trends to prioritize reliability improvements Recovery readiness — validate backups, restore procedures, and failover paths through regular recovery tests Incident response — lead or support incident response, drive post-incident reviews, and close the loop so the same thing doesn't happen twice Platform strategy — shape our long-term infrastructure roadmap and lead cross-team initiatives from design through rollout, adoption, and ongoing operation, mentoring engineers along the way Why This Role Platform is the team every engineering team depends on — your work has outsized leverage across the entire product org, not just one area The infrastructure is solid and actively evolving — you'll shape how reliability and security are built into the platform as it grows This is a staff-level role with real cross-team visibility — you'll influence how Babylist engineers build and ship, not just keep the lights on You'll work on systems that support millions of families at a high-stakes life moment — the scale is real and the product context makes the reliability work matter About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $226,673 to $271,991 + target 20% annual bonus and competitive equity Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: Intellias Meet your recruiter Stephen Palmer stephen.palmer@intellias.com https://www.linkedin.com... Vacancy details Management Manager Director Bulgaria, Croatia, Poland, Portugal, Spain, United Kingdom Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you We are building a market-leading AI Solutions practice and are looking for a senior leader to anchor it across Europe. This is a hands-on leadership role at the intersection of technical depth, client advisory, and commercial growth. You will work with business segments and co-own AI outcomes end to end — from shaping opportunities and advising client executives, through architecting and delivering production-grade solutions, to building the team and offerings that let us scale. This is not a pure management role and not a pure architect role. The right person can sit with a client CTO in the morning to frame a transformation roadmap, dive into a model architecture or agent design review in the afternoon, and shape the next quarter’s offering and pipeline in between. You will be a founding pillar of how we take AI from pilot to production at enterprise scale. What you will do Client Advisory & Pre-Sales Act as the senior AI advisor and trusted partner to enterprise clients, translating business problems into pragmatic, value-driven AI strategies and roadmaps. Lead pre-sales and solutioning: shape opportunities, scope and estimate engagements, run discovery and design workshops, and present to senior and C-level stakeholders. Drive proposal and RFP responses, solution narratives, and commercial framing that differentiate us in competitive situations. Identify and grow account opportunities, partnering with business development to convert advisory engagements into delivery programs. Offering & Practice Development Define and productize repeatable AI offerings, accelerators, and reusable assets that shorten time-to-value and improve delivery margins. Establish reference architectures, delivery playbooks, and engineering standards for ML, GenAI, and agentic solutions. Contribute to AI practice strategy and external thought leadership (points of view, frameworks, speaking, content). Delivery Leadership Support end-to-end delivery of AI programs — from PoC and pilot through to hardened production — ensuring solutions actually ship and operate, not just demonstrate. Drive production readiness across the lifecycle: MLOps/LLMOps, evaluation, monitoring, cost management, security, and AI governance. Manage program economics, scope, risk, quality, and stakeholder alignment across distributed delivery teams. Technical Leadership Provide hands-on technical direction across machine learning, deep learning, and GenAI/agentic systems, with the credibility to lead architecture and design reviews. Make and defend platform and architecture decisions across hyperscaler and data ecosystems (AWS, Azure, GCP, Databricks, Salesforce etc.). Set technical standards and uphold engineering quality, mentoring senior technical staff. Team Building & Leadership Recruit, build, and grow a high-performing AI delivery organization in Europe across data science, ML/AI engineering, and solution architecture. Manage, coach, and develop senior practitioners; foster a culture of capability growth, certification, and continuous learning. Operate effectively within a collaborative leadership model alongside business development and technology peers. What you need for this 12+ years in technology, data, or engineering, with strong hands-on background in AI / ML / data science, including genuine hands-on practice (not solely oversight). Demonstrable hands-on expertise in machine learning and deep learning— model development and experimentation with frameworks such as PyTorch or TensorFlow, and a working command of modern ML/DL techniques. Proven track record delivering AI/ML solutions into production at enterprise scale — you have shipped systems that operate reliably in the real world. Production experience on at least one major hyperscaler or data platform(AWS, Azure, GCP, or Databricks); multi-platform fluency is a strong advantage. Hands-on production experience with GenAI and agentic systems — LLMs, RAG, orchestration and agent frameworks, tool/function calling, and evaluation of non-deterministic systems. Experience leading both internally and externally — line-managing internal teams and owning external client programs as a delivery lead, engagement lead, or equivalent accountable role. Executive-grade client presence — able to advise, influence, and build credibility with senior business and technology stakeholders. Nice to Have: Prior consulting or IT/professional-services experience — pre-sales, offering development, and accountability for running AI projects and programs (including revenue or margin contribution). Experience building or scaling an AI / data practice or capability from an early stage. Deep domain expertise in one or more priority verticals — e.g., retail, automotive & mobility, financial services, healthcare / medtech & life sciences, or telecom — sufficient to speak the client’s language and frame value, not just technology. Familiarity with EU AI Act, GDPR, and responsible-AI / governance frameworks as applied to enterprise deployments. Relevant certifications (AWS / Azure / GCP ML or AI, Databricks). Advanced degree (MSc or PhD) in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Experience operating within nearshore / distributed delivery models. Additional European languages. What Success Looks Like (First 6–12 Months) Established credibility with key clients and internal stakeholders as the go-to senior AI leader for one or more business segments. Shaped and helped win AI engagements, with a measurable contribution to pipeline and bookings. Stood up or sharpened a set of productized AI offerings and accelerators that the team can sell and deliver repeatably. Promoted delivery and engineering standards and begun building a growing, high-quality AI team with measurable impact Delivered (or put firmly on track) at least one flagship AI program running in client production. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, ideally with expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

✔️ Находить проекты в сфере AI-агентов и договариваться об интеграции платформы.

В задачи входят реализация уровня абстракции от платформы во встроенном ПО на базе Embedded Linux и SDK системы на кристалле (SoC) для видеокамер с интеграцией в backend-часть, интеграция модулей встроенной аналитики и портирование на будущие и альтернативные версии SoC.

Location: Intellias Meet your recruiter Yuliya Tsyapenko yuliya.tsyapenko@intellias.com https://www.linkedin.com... Vacancy details IT Administration IT Administration Specialist Middle Lviv, Ukraine Office APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the challenges of tomorrow. What project we have for you We’re looking for a customer-oriented & experienced IT Administration Specialist to join our operations team in the Lviv office and deliver efficient and high-quality IT support to employees. You’ll be the go-to person for hardware and infrastructure support across our offices ensuring employees have the right equipment, workspaces run smoothly, and office IT systems stay operational. What you will do Hardware equipment management — procure, configure, deploy, replace, and upgrade laptops (macOS & Windows), monitors, peripherals, and mobile devices for employees Workplace administration — process workplace type changes (office/remote/hybrid), manage shared workspace equipment, and ensure meeting rooms are fully functional. Office infrastructure maintenance — troubleshoot and repair printers, manage cable infrastructure in meeting rooms, and maintain office equipment inventory Physical security systems — support access control systems, monitor and maintain video surveillance systems, respond to security incidents. OS deployment & IT security — perform operating system upgrades and migrations, handle corporate password issues, register client laptops, and execute media sanitization procedures during employee offboarding Asset & inventory management — track IT equipment lifecycle, manage returns and reassignments, maintain accurate asset records Service desk operations — resolve IT support tickets via Jira, meet SLAs, collaborate with the broader IT Operations team What you need for this 3+ years of experience in IT support, helpdesk, or a technical support role Hands-on experience with macOS and Windows device configuration and troubleshooting Experience with hardware diagnostics and repair — laptops, monitors, printers, peripherals Knowledge of access control systems and basic network infrastructure Experience working with ticketing systems (Jira Service Management preferred) Strong organizational skills and ability to manage high volumes of concurrent requests Willingness to work on-site in the Lviv office. Will be a plus: Experience with video surveillance systems setup and maintenance Familiarity with BYOD policies. Knowledge of IT asset management best practices and tools. Experience with Windows OS deployment at scale (e.g., Windows 10→11 migrations) Understanding of media sanitization and data destruction procedures What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Paris, Remote Workplace: remote Introduction to the Team & Role As a Client Success Partner Coach (or CSP Coach), you will own the most critical customers in France and support, mentor and guide the CSPs that manage them. The Client Success Partners are guiding the learning and development strategies of our customers  through the 360Learning platform. They develop a strong relationship with each client and make sure our customers are satisfied, our contracts are renewed and our customers expand. As a Coach, your role is fundamental for the team: you are responsible for the development of every team member and the achievement of renewal and expansion of clients, for the largest accounts in the French market. Within 1 month, you will: Have started the new coach onboarding program Have defined your routine with each team member Pass the product pitch, competitor analysis and case study onboarding Establish yourself as the point of escalation on your team’s accounts Have familiarized yourself with the product, industry, and the internal tools designed for customer management at 360 Within 3 months, you will: Define a reliable forecast Define initiatives to fill any identified gaps in your team and with customers Report on risk, detailed product needs, retention, expansion and customer performance metrics as well as support on customer warning meetings Deliver the first quarterly performance review for your direct reports Have defined the OKRs for the next quarter Have defined a routine for working with the AMs / the product / the alliances / CS Ops Be autonomous on the account reviews Within 6 months you will: Make sure your team's CSPs will reach their targets Talk regularly with Decision Makers / HRs or L&D Directors Identify expansion with the AE on your team’s book of business Lead customer experience meetings to showcase how your customers are leveraging collaborative learning Identify and nurture customer advocates to produce influenced sales Have defined a vision/roadmap for your book of business for the next 12 months Depending on the context, you will also hire new teammates and ensure their successful onboarding in your team Within 12 months, you will: Be a go to resource on the most sophisticated usage of the platform from our most demanding French customers Define an annual roadmap for French strategic customer market, understanding competitors and opportunities for 360 Learning Work with teammates on their self career development Define career plans for each member of your team Be able to improve the support offered to our customers The Skill Set At least 10 years of extensive experience in Customer Success and 5 years in a Manager position Ability to find the middle ground between the product, learning and development strategy and champion collaborative learning to drive the French strategic business forward Understanding of French enterprise market dynamics (corporate culture, L&D trends, procurement) Strong negotiation and stakeholder management skills (C-level execs, HR/L&D leaders) Data-driven decision making (analyzing churn, adoption, and success metrics) Coaching and mentoring skills (developing junior/mid-level client success managers) Performance management & career development planning Fluent English (US/UK) / B2 level or equivalent (FR) Successful experience as a CSP coach (having achieved objectives over the last 18 months) Ability to conduct meetings with CEOs, Directors or COMEX members at a customer site Experienced in managing complex customer situations Ability to intervene in the pre-sales phase to promote and advise on the support required by the prospect Ability to rely on the right people internally to move a project forward or manage a conflict Excellent interpersonal skills Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance : Flexible hours, full remote work possible anywhere in France 🏠. Working remotely from outside France is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Phone Screen with the Talent Acquisition Manager Discovery Meeting with the Senior Director of Customer Success Case study with the Chief Customer Officer and the Senior Director of Customer Success Meeting with the VP Sales Enterprise Culture Fit Meeting with the CEO Meet & greet with the CS team References & Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Работа в студии AHILLA с прозрачными грейдами. Премии за занятость и дополнительную загрузку.

— находить проекты в сфере AI-агентов и договариваться об интеграциях. — общаться с партнёрами на английском в GitHub, Discord, соцсетях и по почте.

🕹 Список обязанностей: — Разработка автоматизированных тестов для ядра Торговой системы, сервисов и подсистем платформы ASTS: Assistant, IndexServer, MMServer, ЕРК и др.

Location: Remote - Europe; Remote - 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 IP Backbone TPM coordinates the planning and delivery of Nebius’s global IP backbone and Internet edge. The role connects data center launches, customer and platform demand, IP architecture, network engineering, procurement, and external providers so that sites have the routing, transit, peering, hardware, and address resources needed for service readiness and growth. The TPM is accountable for end-to-end project coordination: defining scope with technical owners, building integrated plans, tracking dependencies and risks, driving decisions to closure, and confirming handover. Network Architecture and Engineering own technical standards and design decisions; engineers lead implementation. The TPM keeps those workstreams aligned and ensures the required outcomes are delivered. Nebius Regions and HQ In summer 2026, we introduced the concept of regions to remove dependence on the Amsterdam HQ and speed decision making. The regional change applies to procurement, logistics, and IT datacenter operations. Network infrastructure remains an HQ function because its architecture and design affect all sites. Position Scope Please note that Nebius is in a state of rapid growth. Due to this, the scope and responsibilities of the role will constantly evolve based on business and team needs. Site and PoP Readiness Coordinate IP connectivity due diligence for new data center and PoP locations. Confirm the planned site role in the backbone and the required connectivity to regional and Super PoPs. Track site dependencies such as rack space, power, security, cross-connects, cabling, hardware delivery, and carrier access. Coordinate PoP build plans with IP Engineering, Layer 1 Planning, Data Center Operations, , Security, and Procurement. Identify the boundary between IP and Layer 1 work early, including transport handoffs, demarcation points, and ownership of cross-connects. Confirm that IP equipment and provider services are ready for installation, testing, and operational handover. IP Connectivity Planning Coordinate plans for IP transit, peering, private interconnects, and backbone connectivity in line with the global network strategy. Track provider requirements, site availability, port capacity, cross-connects, delivery dates, commercial terms, and technical acceptance criteria. Work with Procurement and network architects to gather and review ISP information using the provider qualification checklist. Use the completed assessment and architect input to support provider selection and record the decision and any conditions. Plan connectivity for new data center launches, including the required paths from the front-end fabric to the Nebius backbone, transit providers, cloud on-ramps, and peering locations as applicable. Maintain an integrated view of circuit, port, router, optics, and cross-connect dependencies so that a delivered service can be activated end to end. Coordinate capacity growth and diverse connectivity plans before demand or a new launch creates a service constraint. Internet Routing Resources and Security Coordinate the lifecycle and accurate records for Nebius IPv4 and IPv6 address allocations, assignments, and utilization. Maintain an operational view of ASN use and dependencies across regions, PoPs, transit providers, peers, and customer-facing services. Coordinate the creation, review, and maintenance of AS-SETs, route objects, and ROAs with the responsible technical owners and relevant registries. Track RPKI and IRR readiness as part of provider onboarding, routing changes, and new-site launches. Coordinate remediation of resource or routing-security issues with Network Engineering and external providers. Backbone Hardware and Supply Maintain a forward-looking view of IP backbone hardware demand based on PoP builds, data center launches, capacity plans, and approved architecture. Coordinate hardware planning and delivery for routers, line cards, optics, spares, software entitlements, and related components. Standard platforms are Juniper MX304 routers for peering borders, Juniper PTX10002 routers for data center borders, and Cisco 8000 Series routers for Cloud Interconnect (CIC) and cloud on-ramps. Work with IP Engineering to translate approved designs into complete, validated bills of materials and deployment requirements. Track forecasts, purchase requests, supplier commitments, lead times, delivery allocations, and regional logistics with Network Supply and Procurement. Coordinate supply for PoP out-of-band equipment (currently MikroTik, with future SD-WAN platforms under consideration), console access, and PoP management networks. Security appliances are outside this role’s hardware scope. Identify supply risks early and coordinate mitigation options with technical owners, procurement, and project stakeholders. Keep project schedules aligned with hardware readiness, site readiness, and service activation milestones. Delivery and Launch Coordination Build and maintain integrated delivery plans for IP backbone projects, PoP builds, provider services, and data center launches. Coordinate work across IP Architecture, IP Engineering, Layer 1 Planning, Data Center Operations, Construction, Security, Procurement, and providers. Define milestones, prerequisites, owners, acceptance criteria, and handover requirements for each workstream. Drive resolution of blockers and escalate risks that could affect site launch, customer commitments, capacity, or network resilience. Coordinate testing, service activation, routing turn-up, documentation, and operational handover with the engineering and operations teams. Maintain clear status reporting for project scope, schedule, dependencies, decisions, risks, and actions. Operations and Capacity Management Track IP backbone and Internet edge capacity against forecast demand, data center growth, customer requirements, and platform launches. Coordinate port, router, transit, peering, address-resource, and hardware expansion before capacity constraints affect service readiness. Maintain accurate records of PoPs, providers, circuits, ports, ASNs, address allocations, AS-SETs, ROAs, and deployment status in the agreed systems of record. Support incident follow-up and provider escalations when delivery or service issues affect backbone availability. Review completed projects with technical and operations teams, capture lessons learned, and improve planning and handover processes. Support ongoing improvements to resiliency, routing security, provider diversity, and operational readiness. Working Boundaries with Layer 1 Planning IP and Layer 1 TPMs share delivery responsibility for PoP and data center connectivity projects. The IP TPM coordinates the IP service outcome: routing, transit, peering, IP address resources, IP hardware, and service activation. The Layer 1 TPM coordinates the physical and optical transport outcome: fiber routes, wavelengths or dark fiber, DWDM systems, ILAs, and the transport path to the agreed handoff. For shared projects, the two TPMs should maintain one integrated milestone plan, agree the service demarcation and handoff points with engineering, and assign a clear owner to each dependency. Technical design and configuration decisions remain with the relevant architecture and engineering owners. Internal Operating Context Nebius infrastructure supports Nebius Cloud Platform, Nebius Token Factory, Meta, Microsoft, and selected bare-metal customers. The IP backbone TPM works with product and infrastructure stakeholders to translate Nebius Cloud launches and requirements into deliverable connectivity plans. This scope covers Nebius Cloud by default; Internet access for a bare-metal customer is included when that customer specifically requests it. Cloud Interconnect requirements may require dedicated on-ramp planning. For provider onboarding, Procurement coordinates the commercial process and issues the qualification questionnaire. The TPM coordinates technical due diligence with Backbone Architecture and Engineering, tracks completion, and records the approval decision and follow-up actions. The TPM coordinates the provider assessment and selection process with Procurement and the network architects, using the qualification checklist and architect input to reach and document the decision. Security Project Coordination The TPM may coordinate IP security and DDoS-related projects that affect the backbone or Internet edge. Security Architects lead these projects and own the security architecture and technical decisions. The TPM coordinates scope, dependencies, milestones, risks, stakeholder communication, and delivery handover with Security, Network Architecture, Engineering, Procurement, and providers as needed. Key Collaborators Function Typical contribution IP / Backbone Architecture Defines architecture and technical standards; provides technical input to provider selection and design decisions IP Engineering Owns detailed design, configuration, implementation, testing, and technical handover Front End Fabric Deploy Team Ensures that OOB connectivity is ready, and that CAB + Border related deploy work is completed and unblocks this team. Layer 1 Planning / DWDM Engineering Delivers transport connectivity and coordinates shared PoP or site dependencies Network Supply and Procurement Forecasts and sources hardware and services; coordinates provider qualification and commercial processes Data Center Operations and Construction Delivers site access, space, power, cabling, cross-connect, and readiness dependencies Product and customer teams Provides launch dates, demand forecasts, and customer or platform requirements Security Architects Lead IP security and DDoS projects and own security architecture decisions ISPs, peers, exchanges, and cloud providers Deliver transit, peering, interconnection, and related services About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023). Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! 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 $180,000 — $230,000 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: Intellias Meet your recruiter Gerasim Naydenov gerasim.naydenov@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Lead Healthcare Data Engineer to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information. The role requires both deep hands-on engineering expertise and broad technical influence — establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team. What project we have for you We’re helping a US digital-health platform get its patients’ medical data in order: lab results, diagnoses, medications, visits and more. The data comes from many different clinics and labs, each with its own format, so right now it’s pretty messy. Our job is to clean up and standardize that data close to the source, bring scattered logic into one place, and see the real data quality every day instead of guessing. Data engineers will work mostly in Databricks/Spark, building pipelines, reference data and quality checks together with the dev team and clinical experts. What you will do Set the technical direction for healthcare data engineering across ingestion, transformation, validation, normalization, and delivery. Own the end-to-end architecture of large-scale distributed data pipelines transforming heterogeneous source data into clean, standards-conformant FHIR. Design and evolve scalable solutions using Python, Spark/PySpark, Databricks/Delta Lake , and modern data-processing technologies. Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads. Establish standards and reusable frameworks for data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing . Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery. Build and evolve automated testing and validation capabilities for data quality and FHIR conformance . Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently. Champion PHI-safe engineering practices and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements. Make AI-native engineering a practical part of the team’s development model , using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks. Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe. Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both. Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing. Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation. Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions. Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions. What you need for this 8+ years of professional experience in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability. Proven Lead-level technical ownership of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams. Strong hands-on expertise in Python and production-grade data engineering. Deep experience with Apache Spark/PySpark at scale , including partitioning, performance optimization, memory tuning, and distributed processing. Experience with modern lakehouse technologies such as Databricks and Delta Lake , or comparable platforms. Strong experience designing and operating large-scale ETL/ELT pipelines , including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads. Proven experience diagnosing and eliminating complex performance and scalability bottlenecks in distributed data-processing systems. Deep hands-on experience with FHIR R4 , including resources, profiles, Bundles, validation, and large-scale healthcare data transformation. Strong knowledge of US Core, USCDI, HL7 v2.x , and C-CDA-to-FHIR transformation patterns. Strong understanding of healthcare terminology standards including SNOMED CT, LOINC, and RxNorm . Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models. Strong experience with data quality, deduplication, record/patient linking, terminology normalization, and validation . Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture. Experience with Git, CI/CD, automated testing, observability, and production operations . Strong understanding of healthcare security, privacy, and regulatory requirements, including HIPAA and PHI-safe engineering practices. Proven ability to establish reusable engineering frameworks, architectural patterns, standards, and data-quality practices adopted by other engineers. Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence. Practical experience using AI coding agents such as Claude Code or comparable agentic engineering tools as an integral part of the development lifecycle. Strong engineering judgment around when to use AI/LLM-based approaches versus deterministic rule-based solutions , particularly where correctness, cost, performance, or PHI safety are critical. Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders. Nice to Have Deep experience with large-scale FHIR data modeling and healthcare interoperability platforms . Experience with Master Patient Index (MPI), patient matching, identity resolution , or large-scale record linkage. Experience with payer data exchange, including CARIN Blue Button , Da Vinci implementation guides, or similar standards. Experience working with pharmacy, laboratory, or other specialized healthcare datasets. Knowledge of ICD-10 , CPT, CVX , and additional clinical terminology/code systems. Experience with 21st Century Cures Act, ONC certification, CMS Interoperability Rule , or related U.S. healthcare regulatory frameworks. Experience building LLM/agent-based capabilities for clinical data extraction, normalization, terminology mapping, or healthcare data quality . Experience designing reusable AI skills or agentic workflows adopted across engineering teams. Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Healthcare Python Spark

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. What you will do Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment. Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges. Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions. Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring. Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints. Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring. Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies. Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks. Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization. Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning. Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements. What you need for this Required skills: 5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions. Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field. Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation. Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI. Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems. Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring. Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn. Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent. Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments. Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring. Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations. Proficiency with version control (Git) and software engineering best practices for collaborative ML development. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Will be a plus: Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment. Experience with model serving and inference optimization tools such as vLLM. Experience working with feature stores, real-time data pipelines, or streaming AI systems. Experience with distributed training or large-scale model training frameworks. Experience with multimodal AI systems (vision-language models, audio-text, document AI). Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.). Experience contributing to open-source ML projects or publications in peer-reviewed venues. An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

• Опыт работы в разработке и тестировании более 5 лет. • Знание Python (Middle разработчик или выше).