Вакансии

-Анализировать бизнес задачи/проблемы заказчика, транслировать их в аналитические задачи/решения для удовлетворения требований заказчика. -Разрабатывать документы бизнес-требований по шаблону, включая изменения (BRD на CR), определять требования к данным.

Location: Москва GigaChat (GigaChain): Agentic Post-Training и Online RL Обязанности **Исследовать поведение модели:** * разбирать ошибки GigaChat в длительных задачах: потерю цели и контекста, слабое планирование, неверный выбор инструментов, зацикливание, ошибки восстановления и преждевременное завершение работы * анализировать отдельные шаги и целые траектории, находить систематические паттерны успешного и неуспешного поведения * понимать источник проблемы и определять, что нужно менять: обучающие данные, objective, reward-сигнал, модель или agentic environment. **Улучшать модель:** * разрабатывать и улучшать post-training пайплайны для агентных сценариев * работать с rollout’ами, reward-сигналами, rule-based и execution-based верификаторами, judge- и reward-моделями * создавать обучающие выборки из реальных и синтетических агентных траекторий, включая фильтрацию и отбор наиболее полезных примеров * выбирать подходящий метод обучения и понимать, когда сложный RL-контур оправдан, а когда задачу эффективнее решить более простым способом. **Оценивать изменения:** * строить evaluation для многошаговых агентных задач и анализировать качество не только по финальному результату, но и по поведению модели внутри траектории * проверять, переносится ли улучшение между задачами, бенчмарками и харнесами * контролировать регрессии и воспроизводимость результатов * взаимодействовать с командами обучения, инференса, данных, API и агентных харнесов. Требования * сильное владение Python и практический опыт работы с PyTorch * практический опыт LLM post-training: SFT, preference optimization, RLHF, online RL или близкие направления * умение самостоятельно ставить ML-гипотезы, проектировать эксперименты и делать выводы по их результатам * опыт построения пайплайнов данных * навык анализа модели на уровне отдельных примеров и траекторий * способность доводить исследовательскую идею до работающего и воспроизводимого решения. Условия * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Head of Platform Engineering Location: Manhattan, New York City Experience Level: 15+ years, including at least 5 years leading platform or infrastructure teams Work Model: Hybrid, with three days per week in the office near Madison Square Park Why Join Enterprise AI? Enterprise AI is building the technical platform that enables enterprises to deploy advanced AI systems in production. As Head of Platform Engineering, you will lead the technical platform team and help scale the organization as it moves from early platform development toward enterprise adoption. You will work closely with architecture and delivery leaders to establish the technical foundations, operating model, and product capabilities required to support demanding enterprise customers. This is a high-ownership role for a technical leader who can build production-grade infrastructure, hire and develop a strong team, and help turn an internal platform into a reliable enterprise product. As the Head of Platform Engineering, You Will Build and Scale the Platform Set the technical direction for a model-agnostic, multi-tenant enterprise AI platform and establish the architecture, reliability, and operating foundations required for scale. Lead Platform Engineering Build and lead a high-caliber platform organization. Hire quickly at a high bar, develop the team, and create clear ownership across platform engineering, architecture, evaluation, and delivery. Enable Enterprise Deployment Develop platform capabilities that support secure, observable, and reliable AI deployments across enterprise environments, including customer-controlled infrastructure where required. Partner Across Architecture and Delivery Work closely with architecture and delivery leaders to translate customer needs into platform priorities, establish clear technical seams, and ensure the platform supports real-world enterprise deployments. Drive Productization Help evolve the platform from an internal capability into a reliable, externally deployable enterprise product. Establish clear standards for performance, security, observability, evaluation, and operational readiness. Demonstrate Customer Value Partner with delivery teams to support client use cases and ensure that platform deployments are evaluated against measurable business and technical outcomes. The Anti-Sell Hands-on technical leadership: This is not a role for someone who has been on a pure management track for five or more years. You must have personally written production code within the last two years. Enterprise-grade complexity: The platform must support multi-tenant enterprise software, secure deployments, customer-controlled environments, and demanding enterprise requirements. High hiring and execution bar: You will be expected to hire quickly, maintain a high bar, and lead a growing platform organization while delivering against an ambitious product roadmap. Security and regulatory accountability: The role requires deep experience with enterprise security, identity, and hosting, including experience working with regulated customers. Breadth of experience: Candidates with a solely consumer or solely services background may not be a fit for this role. Our Enterprise AI Platform Leaders Typically Have Deep platform engineering experience: Typically 15+ years in software engineering, including at least five years leading platform or infrastructure teams that have shipped multi-tenant enterprise software. Multi-tenant and self-hosted architecture expertise: Proven experience designing and operating platforms for enterprise customers, including self-hosted or customer-controlled deployments. Hands-on LLM systems expertise: Direct experience with LLM orchestration, evaluation, serving, and fine-tuning, as well as the ability to contribute production code. Productization experience: A track record of taking a platform from an internal tool to an externally licensed or deployable product. Enterprise security and team leadership: Deep knowledge of enterprise security, identity, and hosting with regulated customers. You should also have a proven record of hiring quickly at a high bar and leading platform or infrastructure teams. Top-Tier Candidates Will Have Experience building or scaling a platform inside a services or forward-deployed organization. Experience in financial services or another highly regulated industry. Experience supporting enterprise AI deployments across complex customer environments. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will join a Network Engineering team responsible for designing and operating large-scale public cloud, datacentre and high-performance computing (HPC) network infrastructure. The team works closely with Quantitative Researchers, Traders, and infrastructure, application teams to ensure reliable, high-performance connectivity across compute and storage platforms. What You'll Do We are seeking an experienced network engineer to join our AWS Cloud Engineering team to support the continued growth and maturation of our global cloud network. You will: Design, develop and evolve QRT’s complex global AWS network architecture, with a focus on scalability, resilience, security and performance. Support connectivity across compute, storage and cloud platforms Use infrastructure as code and software-engineering practices to deliver consistent, repeatable and auditable network changes at scale. Explore, evaluate and onboard new AWS networking services and features as part of the continuous improvement of the platform. Contribute to the ongoing development of network architecture standards, design patterns, governance, observability and resilience. Act as an engineering escalation point for complex connectivity and performance issues across cloud and traditional network domains. Stay informed on industry trends and emerging technologies to evolve network infrastructure What We're Looking For You will have: At least five years of experience in cloud or network engineering, including strong hands-on experience with AWS networking in production environments. Good knowledge of AWS networking services, including VPC, Transit Gateway, PrivateLink, Direct Connect and Route 53. Network security concepts, services and platforms, including segmentation, firewalls, AWS Shield and AWS WAF. A solid understanding of networking fundamentals, including IPv4 subnetting, TCP/IP, ARP, VLANs, routing and switching, NAT, BGP, DNS, DHCP, HTTP/S and TLS. Demonstrable experience with infrastructure as code and programming or scripting, ideally using Terraform and Python. Experience troubleshooting on AWS, such as VPC Flow Logs, Reachability Analyzer, CloudWatch and Traffic Mirroring. Be comfortable getting hands-on with smaller engineering tasks as well as larger strategic projects Be a highly collaborative team player who takes ownership of complex problems and major project deliverables, communicating clearly and working across teams to drive successful outcomes Desirable experience Experience in, or a willingness to learn, the following areas would be beneficial: Newer AWS networking technologies, including AWS Cloud WAN, Route 53 Profiles and VPC Lattice. IP address management platforms such as Amazon VPC IP Address Manager or Infoblox. Traditional enterprise and datacentre networking technologies, including dynamic routing, resilient network design, EVPN/VXLAN and network overlays. IPv6 architecture and deployment on AWS and in hybrid environments. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

– Разрабатывать AI-решения поверх нашей платформы: agentic workflows, tool calling, RAG, memory и human-in-the-loop контуры. – Проектировать multi-agent системы без жёсткой привязки к конкретному фреймворку или SDK — с логикой взаимодействия агентов, состоянием, памятью, маршрутизацией и обработкой ошибок.

— администрировать и развивать Windows/Linux-инфраструктуру; — поддерживать Multi-domain Active Directory, GPO, DNS и DHCP;

We are looking for a Senior Platform Engineer on behalf of our client to build, scale, and maintain an Internal Developer Platform (IDP) that empowers application software teams to ship code safely, independently, and rapidly. Maintain cluster health, upgrade lifecycles, autoscaling policies, and security policies across multi-region Kubernetes deployments.

Design and develop end-to-end data pipelines using Azure Data Factory, SQL, and other Azure services. Implement complex data models, DAX measures, and calculated columns to support reporting.

Location: Singapore Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how. We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow. JOB DESCRIPTION How you'll make an impact - Provide technical support to merchants during their implementation of Checkout.com http://Checkout.com payment processing technology - Answer all merchants’ integration related questions, including but not limited to configuration, debugging, documentation, testing, go-live support, and post-live support - Manage incidents as related to the integration (investigation, troubleshooting, escalation, resolution, reporting, time tracking and analysis of incidents) - Collaborate and partner with internal teams such as Merchant Configuration, Sales, Account Managers, and Merchant Care, to resolve issues during customer trials, integrations, or post-implementation support - Interact with the Product teams to pinpoint improvement ideas - Advise Manager on issues which impact customer satisfaction and provide recommendations for appropriate actions - Ability to multitask with multiple projects and integrations of customers - Maintain/update existing libraries/plugins used in integrations QUALIFICATIONS - 2+ years of development or technical support experience in a Tech/FinTech company - Have payments experience would be advantageous - Understanding of API, REST, webhooks and logs is required - Strong coding skills in at least one of these languages: Java, Javascripts, PHP, Python, Go, C# - Experience with Node.js, React is a plus - Knowledge in iOS/Android is a plus - Excellent communication skills, ability to build and maintain strong relationships - Ability to work in a customer-focused and target-driven environment - Good in speaking and writing in both English and Chinese Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Предстоит: Разрабатывать и поддерживать ETL/ELT-пайплайны для загрузки и обработки данных из различных источников; Участвовать в миграции существующих процессов загрузки данных на новую data-платформу на базе ClickHouse;

▫️Разработка и развитие модуля Demand Planning. ▫️Проектирование и реализация высоконагруженных алгоритмов прогнозирования спроса.

Location: Warsaw, Poland Duties: Blue Projects’ Project Delivery & Engineering team is looking for a Process Engineer to join our team in Warsaw. About Blue Projects Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality. With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.” Deliver here. Grow here. We are seeking a Process Engineer to support engineering and project delivery activities, ensuring effective design, coordination, and execution of technological projects throughout their full lifecycle. Role Overview The Process Engineer supports project teams by contributing to engineering design, coordinating with multiple stakeholders, and ensuring efficient project execution. The role involves active participation across all project stages, including planning, design, implementation, and change management, while maintaining clear communication and proper documentation flow. Job Description Collaborate with project teams to provide support and supervision for technological projects. Assist the engineering department in developing projects in accordance with customer requirements. Participate in design activities, project supervision, and implementation throughout the full project lifecycle. Contribute to the preparation of project schedules and budgets. Work closely with other departments involved in project execution to ensure alignment. Ensure proper flow of project documentation and effective communication. Support and manage project changes as required. Maintain availability for travel or relocation based on project needs. Bachelor’s degree in a technical field such as mechanical, production, or process engineering, or a related discipline. Proficiency in 3D design using AutoCAD and Autodesk Inventor. Minimum of 3 years of experience in process engineering. Fluent English skills, both written and spoken. Proficiency in Microsoft Office applications. Fluent English and Polish language, both written and spoken. Proficiency in Microsoft Office applications. Strong written and verbal communication skills, with the ability to interact effectively with stakeholders at all levels. Excellent problem-solving abilities and strong organizational skills. Production experience and knowledge of FMCG manufacturing processes are considered an advantage. oviding support and supervision for technological projects. Support for the engineering department in developing projects according to customer requirements. Assistance in design, project supervision, and active participation in implementation (engagement in the project throughout its entire cycle). Contribution to the preparation of schedules and budgets. Collaboration with other departments involved in project implementation. Ensuring proper flow of project documents and communication. Change management. Availability to travel or relocate as per the needs of the projects. Qualifications: Higher technical education (mechanical, production engineering, process engineering; or related fields). 3D Design in AutoCAD and 3D  Inventor. 3+ years experience in process engineering. Proficiency in English enabling fluent communication both orally and in writing. Proficiency in using MS Office. Strong communication skills, both written and verbal, with the ability to communicate with colleagues and contractors at all levels of the organization. Excellent problem-solving skills and very good organizational abilities. Preferred: Production experience and specific knowledge of manufacturing processes related to the FMCG industry. Additional Information Career growth & well being At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program. Benefits (country specific) Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan. Global mobility Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements. Our culture We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset. Inclusion & Equal Opportunity Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers. GDPR & confidentiality By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially. ________________________________________ About Blue Projects Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity. ________________________________________ How to apply Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We are now hiring for a Data Engineer to join our new BI / Data team. This role is an exciting opportunity to build Xelix's data platform from the start: the pipelines, data lake and Snowflake warehouse that become the company's single source of truth, built AI-native so a small team delivers in weeks what used to take quarters. You'll work alongside the Data Engineer in our Platform Team, who focuses on our production data systems, while you focus on bringing data together for analytics, reporting and AI. Whether you're an experienced mid-level engineer ready for broader ownership or already operating at senior level, this is a chance to shape a new team from its first day. What you'll be doing Build and run ingestion from our platform databases and business tools (HubSpot, Xero, Intercom, Gong and more) into our data lake and Snowflake warehouse, with a first version of the priority sources live within your first six weeks Work AI-native from day one: AI coding agents write, test and document pipelines, checks and infrastructure code, while you own design, review and reliability Set up change data capture from Postgres read replicas, so analytics never touches production Own reliability, monitoring, data quality checks and cost control for the data platform Work with our Platform Team on data contracts and access to production data, so analytics needs are designed in rather than bolted on Build datasets with AI Engineering for model evaluation and measuring processing accuracy What you’ll bring Solid experience as a data engineer, building production pipelines into a cloud data warehouse (Snowflake preferred) You already work AI-native: you use AI coding agents daily for pipelines, SQL, tests and infrastructure code, can show how it changed your speed, and know how to verify what they produce Strong SQL and Python, plus experience with dbt and a managed ingestion tool such as Fivetran or Airbyte Hands-on Postgres experience, including replication or change data capture AWS experience (S3, RDS, IAM) and infrastructure as code A security-minded approach to sensitive financial data: access controls, retention and auditability What we offer in return 💰 Competitive salary of £50,000-£70,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

E2B is looking for a Support Engineer to resolve technical customer issues, debug the platform, improve documentation, and build AI-powered support tooling.

Location: Сочи Центр Инноваций создает передовые решения на стыке технологий и бизнеса за счет фундаментальных знаний, примененных к рынку в виде прикладного исследования, которое рождает технологию, для дальнейшей интеграции в продукт. Мы реализуем полный цикл разработки: от генерации идей, проведения исследований, до создания прототипов, MVP и запуска продуктов и сервисов. Взаимодействуем с клиентами, партнерами, продуктовыми командами, маркетингом, университетами. Обязанности ### Обязанности * сопровождение и развитие автоматизированной системы (АС) AI Hub * коммуникация с пользователями АС * решение инцидентов и проблем * решение задач по развитию АС * поддержка смежных систем и команд (АС, агенты и т.п.) * участие в цикле разработки: от генерации идей, проведения исследований, до создания прототипов, MVP и запуска продуктов и сервисов. * взаимодействие со всеми членами команды и другими подразделениями, а также партнерами для достижения целей проектных инициатив. Требования ### Требования * опыт от 2 лет на позиции DevOps/SRE  * степень бакалавра или магистра по профильной специальности * опыт работы в поддержке и эксплуатации автоматизированных систем * знание методологий SDLC, Agile и соответствующих инструментов * понимание технологий контейнеризации и виртуализации, Cloud Native, микросервисной архитектуры, сетевых технологий * понимание объектно-ориентированного программирования и design patterns * уверенное владение инструментами контроля версий, такими, как Git * знания Linux и сетевых протоколов * опыт работы с CI/CD (GitLab/Jenkins/GitHub Actions) * навыки мониторинга и логирования (Prometheus, Grafana, VictoriaMetrics) и написания скриптов на Python/Bash. ### Будет плюсом * опыт настройки и сопровождения инференса, MLOps * навыки работы с генеративными AI-моделями, опыт создания AI-агентов и использования их в работе * владение английским для свободного чтения материалов в своей профессиональной области. Условия ### Условия * гибридный формат работы из офиса в г. Сочи * годовой бонус и ежегодный пересмотр * ДМС с первого дня + стоматологию и льготное страхование для семьи * корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях * льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Полный цикл разработки и внедрения ML-моделей в продакшен, мониторинг и ретренинг. Лидерство в реализации бизнес-задач.

Manage and maintain IT systems in a cloud first environment. Provide friendly and unflappable technical support.

Escalation Management & Complex Ticket Handling. Lead high-priority or complex support issues, including those involving multiple teams or external partners.