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Location: Москва Мы - Управление развития искусственного интеллекта блока "Развитие клиентского опыта B2C". В нашей зоне ответственности ML-решения, результаты работы которых ежедневно влияют на поведение десятков миллионов клиентов. Развитие клиентского опыта – динамический и активно развивающийся процесс. Совместно с бизнесом мы проводим десятки различных экспериментов ежемесячно, и лучшие из них оформляем в полноценные ML продукты. Совокупные финансовые эффекты от наших продуктов > 1 млрд. руб. в год. Обязанности * проектировать и развивать end-to-end пайплайны для ML-решений в рамках программы Лояльности: от поставки данных и обучения до A/B-тестирования и вывода моделей в production * декомпозировать и рефакторить существующие решения (в том числе полу-ручные MVP) в высоконагруженные, отказоустойчивые микросервисы на Python * тестировать и оптимизировать PySpark ETL/ELT-пайплайны: профилировать узкие места, настраивать джобы, работать с партиционированием и форматом хранения данных для обеспечения производительности на больших объёмах * разрабатывать внутренние Python-библиотеки и стандарты разработки для переиспользования кода командами Data Science. Требования * опыт от 3 лет в разработке на Python, из них от 2–3 лет в роли MLOps Engineer, Data Engineer или Backend-разработчика в ML-платформах * уверенная работа с экосистемой Big Data: опыт работы, тестирования и оптимизации PySpark-пайплайнов, Apache Airflow (или аналоги), Kafka, Docker/Kubernetes (K8s), S3/HDFS * опыт проектирования архитектуры ML-решений: понимание микросервисов, асинхронности, паттернов проектирования * понимание полного цикла жизни ML-модели: от подготовки данных и feature engineering до мониторинга в проде (MLflow, Prometheus/Grafana или аналоги). будет плюсом: * опыт автоматизации CI/CD для полного цикла ML (обучение, валидация, развёртывание моделей) с использованием GitLab CI или Jenkins * понимание PySpark на уровне администратора/архитектора: тонкая настройка кластеров, управление ресурсами (динамическое распределение _Dynamic Allocation_), работа с _executors_, _partitions_, управление памятью (_spark.memory.fraction_, _spark.memory.storageFraction_), тюнинг _shuffle_ * опыт работы с Feature Store, MLflow, ClickHouse. Условия * комфортный современный офис рядом с м. Кутузовская  * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития  * программа адаптации и помощь руководителя на старте  * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа  * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких  * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Singapore Established in 2020, Riot Singapore is a game development studio focused on delivering great experiences to our players. We partner with our LA headquarters on game development for League of Legends, Teamfight Tactics, Legends of Runeterra, VALORANT and 2XKO. Riot Singapore is seeking talented, passionate Rioters with backgrounds in all areas of game development to build games that make it better to be a player. We’re focused on working together to promote individual autonomy, ownership, collaboration, and inclusivity, so every Rioter can be their best while we boldly pursue games. That's where you come in. As a Senior Manager, Software Engineering — TFT Store & Cosmetics , you’ll lead two connected engineering teams of 13 people responsible for how cosmetics are created and how players discover and acquire them. Content Distribution builds player-facing experiences, including the Store and Treasure Realms, while Cosmetics Engineering develops the systems, tools and workflows that enable artists and content creators to build and ship cosmetics. Both teams work primarily in C++ and Unreal Engine, combining client engineering with the tools and systems that power TFT’s cosmetics ecosystem. Based in Singapore, you’ll partner closely with colleagues in Los Angeles across Engineering, Product, Art, Design and Production. Responsibilities: Lead Store & Content Distribution and Cosmetics Engineering, setting clear goals, ownership and delivery expectations aligned with TFT’s priorities. Coach and develop engineers, and emerging managers, upholding a high performance bar through direct feedback, growth planning and proactive performance management. Shape team structure, hiring and staffing to meet current and future needs, developing leadership capacity and making resource trade-offs across the group. Own the group’s technical vision, strategy and roadmap, partnering with senior engineers to balance delivery with architecture, quality and Riot’s technology standards. Align priorities with Product, Art, Design and Production across Singapore and Los Angeles, resolving competing demands and managing dependencies with central technology teams. Guide reliable Store experiences and integrations with shared services. Guide the Unreal systems, tools and pipelines that support cosmetics production and enable new content types. Monitor delivery and operational health, act early on risks, and drive improvements in testing, CI/CD, developer experience and creator workflows. Required Qualifications: 10+ years of software engineering experience, including substantial games industry experience building game client systems, UI, gameplay or tools. 4+ years of engineering management experience, including leading engineering groups of more than 10 people. Strong C++ development experience, plus experience working with Unreal Engine (preferred), Unity or proprietary game engines. Experience shipping game UI integrated with backend services, building tools and systems for content creation, or both, such as asset pipelines, cosmetic authoring tools, or systems that integrate animation and VFX into the game. Ability to review technical designs and guide implementation decisions, including performance, reliability and maintainability trade-offs. Experience setting technical roadmaps and aligning delivery priorities with Product, Art, Design and engineering partners across locations. Proven experience developing senior engineers, managing performance and making hiring and staffing decisions. Desired Qualifications: Experience with live service or free-to-play games, particularly player-facing Store, commerce, monetization, virtual goods, purchasing or entitlement systems. Experience building game UI using patterns such as MVVM, including integration with server-authoritative services Experience with animation, cinematics  and VFX workflows, including crafting  systems that can be extended by artists and technical artists. Experience with Unreal Engine’s tools/systems for UI development, such as UMG, UI Materials, and MVVM. Experience with Unreal Engine’s tools and systems for content authoring and editor tooling, such as Niagara, Sequencer, Blueprints, and Slate. Our Perks: Full relocation support Full health insurance for you, your spouse and children Open paid time off Retirement benefits with company matching Life insurance, parental leave, plus short-term and long-term disability Play Fund so you can broaden and deepen your knowledge of our players and community through games We will double down on your donations of time and money to non-profits Don’t forget to include a resume and cover letter. We receive a lot of applications, but we’ll notice a fun, well-written intro that shows us you take play seriously.

Location: Toledo, United States Our client, a consumer goods manufacturer, is seeking an Engineering Manager to lead manufacturing engineering activities, equipment improvements, and capital projects supporting production operations. Key Responsibilities Lead manufacturing engineering and process-improvement initiatives. Manage capital equipment projects from planning through implementation. Support equipment reliability, automation, and production capacity improvements. Review technical issues affecting safety, quality, cost, or output. Develop engineering staff and coordinate external technical resources. Requirements 7+ years of manufacturing or industrial engineering experience. Previous engineering leadership or project-management responsibility. Experience with capital projects, equipment installation, and process optimization. Bachelor’s degree in engineering or a related technical discipline. Benefits $110,000 to $130,000 annual base salary Medical, dental, and vision insurance 401(k) with company match Paid parental leave Paid vacation and company holidays Annual performance bonus of up to 10% Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: Sofia, Bulgaria D-ploy is an IT and Engineering Solutions company with operations across EMEA, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We deliver innovative IT services and solutions to industry-leading clients, focusing on reliability, efficiency, and long-term partnerships that enhance IT productivity and business value. We are currently looking for an IT Onsite Support Technician to support end-users in a professional and regulated environment in Sofia. Tasks and Responsibilities Provide first and second level IT support (hardware, software, mobile devices, and peripherals) Act as the primary onsite point of contact for end-user IT issues Troubleshoot incidents and service requests via ticketing system (ServiceNow) Deliver prompt and professional user support (desk-side and remote) Document all activities and resolutions accurately in the ticketing system Support IT onboarding for new employees (equipment setup, user guidance) Maintain and contribute to knowledge base documentation Support continuous service improvement initiatives Requirements Fluent English and Bulgarian (written and spoken) Minimum 2+ years of experience in IT support / onsite support role Strong troubleshooting skills in Windows environment and standard IT tools Experience with ticketing systems (e.g., ServiceNow) Excellent communication and customer-oriented mindset Ability to work independently in an onsite client environment Well-organized, reliable, and detail-oriented Experience in regulated environments (e.g., GxP) is a plus Ability to provide a clean criminal record extract (not older than 3 months) Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA?

Location: Al Hofuf, Saudi Arabia; Dhahran, Saudi Arabia We are seeking a highly motivated and professional fresh graduate to join our team as a Telecommunications Engineer. In this role, you will support the design, integration, and execution of critical communication systems for major Oil and Gas facilities in Jafurah. Working closely with multidisciplinary teams, you will apply your foundational engineering knowledge to real-world industrial challenges, supporting projects from Front-End Engineering Design (FEED) through to final execution. Key Responsibilities Project Execution: Support project phases from FEED through execution, ensuring telecommunication engineering requirements are safely and accurately met. System Integration: Assist in the design and reliable integration of vital telecom systems, including fiber optics, wireless networks, and industrial control systems. Cross-Functional Collaboration: Coordinate with multidisciplinary teams to ensure telecommunication systems align with overall facility operations and project goals. Technical Application: Apply core telecommunication engineering principles to optimize network design, signal transmission, and communication protocols. Requirements Education: Bachelor of Science (BS) in Telecommunication Engineering. Experience Status: Fresh Graduate (Must be currently unemployed and available for immediate placement). Professionalism: Demonstrates a highly professional personality, strong work ethic, and readiness to adapt to a fast-paced industrial environment. Industry Exposure: Academic, project, or internship experience related to the design of communication systems specifically for Oil and Gas facilities. Core Competencies: Strong understanding of telecommunication engineering principles, including network design, signal transmission, and communication protocols. Certifications: Project Management Professional (PMP) certification is a strong plus. Soft Skills: Excellent communication, analytical problem-solving abilities, and teamwork skills.

Location: Dammam, Saudi Arabia We are seeking an experienced Electrical Senior Estimation & Design Engineer / Manager with 10+ years of experience in electrical estimation, design, BOQ preparation, and project bidding. The ideal candidate should have strong expertise in interpreting electrical drawings, preparing accurate quantity take-offs, developing electrical designs, and coordinating with vendors and bidding teams. Key Responsibilities Review and analyze project drawings, specifications, and requirements to determine project scope, materials, and equipment. Perform quantity take-offs and determine material and resource requirements. Prepare BOQs from MEP electrical drawings and Single Line Diagrams (SLDs). Prepare and review electrical design calculations, drawings, specifications, and BOMs . Prepare Protection Single Line Diagrams and ensure designs comply with applicable international codes and standards. Perform electrical estimation and BOQ preparation for industrial and residential facilities . Coordinate with the bidding team for project estimation and tender submissions. Coordinate with vendors and negotiate pricing and commercial terms to achieve competitive project costs. Carry out transformer sizing, DG sizing, load calculations, cable sizing, cable schedules, circuit breaker sizing, and protection system sizing . Prepare electrical layouts and Single Line Diagrams using AutoCAD . Requirements Key Responsibilities Review and analyze project drawings, specifications, and requirements to determine project scope, materials, and equipment. Perform quantity take-offs and determine material and resource requirements. Prepare BOQs from MEP electrical drawings and Single Line Diagrams (SLDs). Prepare and review electrical design calculations, drawings, specifications, and BOMs . Prepare Protection Single Line Diagrams and ensure designs comply with applicable international codes and standards. Perform electrical estimation and BOQ preparation for industrial and residential facilities . Coordinate with the bidding team for project estimation and tender submissions. Coordinate with vendors and negotiate pricing and commercial terms to achieve competitive project costs. Carry out transformer sizing, DG sizing, load calculations, cable sizing, cable schedules, circuit breaker sizing, and protection system sizing . Prepare electrical layouts and Single Line Diagrams using AutoCAD . Requirements 10+ years of relevant experience in Electrical Estimation and Design. Strong experience in BOQ preparation, quantity take-offs, and electrical estimation . Hands-on experience with SLD preparation and interpretation . Strong knowledge of electrical design calculations and equipment sizing. Experience working with MEP electrical drawings for industrial and residential projects. Proficiency in AutoCAD . Good understanding of international electrical codes and standards. Strong vendor coordination, negotiation, and bidding/tendering skills.

Location: Dubai, United Arab Emirates We are seeking an exceptional Lead Planning Engineer to take a strategic role in the planning and delivery of large-scale, high-value construction and real estate developments in Dubai. This is an opportunity for a seasoned planning professional with a strong track record in major residential and luxury real estate projects to take ownership of project planning strategy, drive schedule performance, and provide high-level guidance to project teams and senior leadership. Working closely with Project Directors, senior management, and key stakeholders, you will play a pivotal role in ensuring complex projects are delivered against ambitious timelines, while proactively managing critical risks, project dependencies, and schedule performance. Key Responsibilities Lead project planning and scheduling strategy across major construction projects, establishing robust planning frameworks, scheduling standards, and best practices. Oversee the development and management of comprehensive project schedules, from pre-construction and design development through procurement, construction, and final handover. Establish and manage baseline programmes, integrated master schedules, and resource-loaded schedules aligned with project objectives and contractual milestones. Drive critical path analysis, scenario planning, and schedule risk assessments to anticipate delays, evaluate mitigation strategies, and safeguard key project milestones. Monitor project performance against approved baselines, challenge progress assumptions, and hold project teams accountable for schedule commitments. Provide senior management with clear, data-driven insights into project progress, emerging risks, critical dependencies, and potential impacts on overall delivery. Lead the preparation and presentation of executive-level progress reports, planning dashboards, and schedule performance reviews. Work closely with Project Directors, construction teams, consultants, and contractors to resolve planning constraints and maintain alignment across project workstreams. Drive continuous improvement in planning methodologies, reporting standards, and project controls processes. Mentor and provide technical guidance to planning engineers, promoting a high standard of planning excellence across project teams. Develop and support recovery and mitigation plans where project performance is behind schedule Conduct delay analysis and support the preparation of extension of time (EOT) claims Coordinate planning activities with Project Managers, Site Teams, Engineers, Contractors and other key stakeholders Review contractors’ and subcontractors’ programmes and assess compliance with contractual requirements Monitor key project milestones and ensure that planning data accurately reflects actual site progress Support project forecasting and provide management with recommendations to improve schedule performance and project delivery Provide planning insights and recommendations to support informed management decision-making Requirements Bachelor’s degree in Civil Engineering, Construction Management or a related field Minimum 10 years of experience as a Planning Engineer or Project Controls Engineer Proven experience working on large-scale construction projects Strong knowledge of project scheduling methodologies, critical path analysis and progress monitoring Experience with delay analysis, recovery planning and EOT claims Good understanding of project controls and the full construction project lifecycle Experience working with contractors and/or consultancy companies is highly preferred Strong analytical, reporting and stakeholder management skills Ability to work effectively with senior management and multiple project stakeholders Professional working proficiency in English Benefits Competitive salary Official UAE employment status Comprehensive medical insurance coverage Opportunity to work on major construction projects in Dubai Direct collaboration with project management and senior leadership Working schedule 6 days per week from Monday to Saturday and Sunday is off.

Responsibilities: — Administer Windows and Linux infrastructure, workstations and open-source services. — Manage identity, access permissions and device configuration, including mobile device management (MDM). — Maintain security updates, monitor system health and investigate operational problems. — Maintain backups and test recovery procedures so that systems and data can be restored when needed. — Plan and carry out controlled changes, with clear checks and recovery steps. — Document configurations, procedures and decisions, and help colleagues resolve technical issues. — Network management. Skills, Qualifications, and Experience: — Practical confidence administering Windows and Linux, troubleshooting across systems and services, and supporting colleagues with different technical needs. — Confidence working with open-source tools, access controls and device management. — Careful judgement, clear communication and a methodical approach to change. — An understanding of why updates, tested backups and useful documentation are part of everyday infrastructure work. This role is based on-site in Limassol. Occasional system checks, maintenance and incident response outside normal working hours may be required. Visa sponsorship is supported.

Location: London, UK; Oslo, Norway Workplace: Hybrid At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations. We’re looking for an Engineering Manager to lead Billing & Integrations, the team behind usage metering, plans and subscriptions, spend controls, invoices, and selected partner integrations. Your team makes it possible for us to launch billable capabilities and to run routine billing through reliable APIs and tools. You’ll also keep our integrations dependable and current. Leading a team at Sanity means owning strategy, roadmap, and execution alongside your product partner. This is a player-coach role: most of your time will go to people, priorities, and delivery, while you stay close enough to the code to review designs, unblock difficult problems, and guide technical decisions. WHAT YOU WILL DO: - Lead delivery of a reliable monetization platform - Own the engineering roadmap with Product, balancing new billing capabilities, customer-facing improvements, reliability, and reducing manual work. - Guide the usage-to-invoice architecture: metering correctness, subscription lifecycle, reconciliation, and dependable budget and limit enforcement. - Turn recurring plan, coupon, credit, and invoicing requests into documented APIs and self-service tools that other teams can operate independently. - Coach and develop the engineering team - Develop engineers through clear feedback, meaningful ownership, career support, and hiring as the team’s needs evolve. - Stay technically engaged through architecture reviews, pairing, and code where it helps the team most; strengthen testing, observability, incident response, and safe migration practices. - Partner across Sanity - Work with Product, Growth, Finance, RevOps, Support, and engineering teams to make pricing and billing requirements clear, surface trade-offs early, and protect customer trust. - Keep existing partner integrations reliable and aligned with upstream API changes. Measure impact through billing accuracy, self-service adoption, commercial lead time, and operational health. ABOUT YOU: - Based in Oslo, Norway, or London, UK. - You communicate technical designs and trade-offs clearly, in writing and in conversation, with both engineers and non-technical partners. - You have proven experience managing engineers and delivering software at a product or SaaS company, backed by a substantial hands-on engineering background. - You’ve led backend or platform systems where correctness and reliability matter. Experience in billing, payments, usage metering, subscriptions, or entitlements is especially useful. - You turn ambiguity into clear priorities, deliver incrementally, and can show how your team’s work improved customer or business outcomes. - You care about growing people and building a team with shared ownership. You work effectively across functions and timezones, and replace recurring manual work with reusable capabilities. - You can reason deeply about event-driven systems, API contracts, idempotency, retries, consistency, reconciliation, and safe changes to critical state. Familiarity with Orb, Stripe, or Temporal is a plus; transferable engineering judgment matters more than a particular vendor. Not sure you’re exactly what we’re looking for in this role? Apply anyway! WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive salary and stock options program WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. #LI-ST

Задачи: — Разработка AI-агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при сбоях. Требования: — Опыт разработки на Python и бекенд инженерия. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция API и событийно-ориентированные рабочие процессы. — Оценка, трассировка и отладка LLM. — Опыт работы с Docker, Kubernetes, CI/CD и AWS. — Приветствуется опыт мультиагентной оркестрации, MCP, workflows с участием человека и мониторингом агентов в продакшене. Условия: — Удалённая работа. — Полная занятость или контракт.

Responsibilities: — Execution Planning and Detailed Design of the turnaround scope for the Injection Failure Mitigation Project (IFMP) by NCOC. — The project will be carried out offshore at Kashagan. — Review and work with engineering documents and construction drawings. — Support construction teams with engineering deliverables. — Prepare work packages based on detailed design, shop drawings and lookahead schedules. — Resolve technical issues, clashes, construction errors and material/design discrepancies. — Conduct technical and dimensional surveys and update drawings through RLMU. — Prepare technical queries and coordinate solutions with the engineering office. — Prepare MTOs and coordinate material requirements. — Verify materials and equipment against project requirements. — Support inspections and testing of materials and completed works. — Participate in site meetings and coordinate with project stakeholders. — Support RLMU drawing circulation and As-Built documentation. — Review/support construction method statements and lift plans when required. Conditions: — Work schedule 5/2. — Location: Aktau (Teniz Office).

Задачи: — Организация пайплайнов потоков данных (конвейера движения данных в компании) — Разработка, поддержка и оптимизация производительности Корпоративного Хранилища Данных (EDWH) — Разработка и настройка ETL/ELT-процессов в Корпоративное Хранилище Данных (сбор, структурирование и обеспечение сохранности данных) — Настройка инфраструктуры для обеспечения качества данных — Разработка BI дашбордов, визуализации данных Требования: — Обязателен опыт работы с технологиями: Greenplum или другая MPP СУБД, ClickHouse, Airflow — Хорошее знание SQL и реляционных баз данных (желательно, Greenplum или PostgreSQL), опыт написания сложных запросов — Хорошее знание Python — Знание современных технологий обработки больших данных — Высшее образование (IT/математика/математическая статистика/физика)

Задачи: — Повышать скорость экспериментов команды, ускорять запуск, получение и анализ результатов. — Поддерживать и развивать JAX фреймворк для обучения моделей, обеспечивая масштабируемость и эффективность на TPU. — Улучшать качество данных для обучения моделей, выявлять и исправлять проблемы, повышая точность. — Анализировать точность продакшн-моделей, строить системы оценки и определять приоритетные улучшения. — Переводить исследовательские прототипы в продакшн-системы, рефакторить и модернизировать архитектуры и инфраструктуру. — Оптимизировать продакшн-инференс для речевых моделей, включая архитектуру сервиса и техники квантования, спекулятивного декодирования. — Исследовать и устранять узкие места в производительности на всех уровнях стека, от низкоуровневых ядер (XLA, Pallas) до системного дизайна. — Сотрудничать с исследователями, инфраструктурной и продакшн-командами для выявления и устранения проблем. Требования: — Экспертное владение JAX и TPU, включая экосистему Flax, Optax, XLA. — Дисциплина измерений: определять успех заранее, критически оценивать результаты. — Готовность работать с полным пайплайном, включая данные и оценку. — Опыт оптимизации систем инференса для продакшна, желательно с LLM или речевыми моделями. — Глубокое понимание распределённого обучения, современных систем глубокого обучения и ML-инфраструктуры. — Знание современных техник оптимизации инференса: непрерывная пакетизация, управление KV-кэшем, стратегии шардирования, квантование. — Энтузиазм к рефакторингу и улучшению существующих систем. — Сильные навыки Python; опыт C++ или Rust для низкоуровневой работы — плюс. — Отличные коммуникативные навыки и умение работать в команде. Бонус: — Знания в области Speech-to-Text: архитектуры ASR, аудиопроцессинг, стриминговый инференс. Условия: — Удалённая работа. — Полная занятость. — Зарплата в США от $270,000 до $310,000 в год. Компания AssemblyAI — лидер в области Voice AI, обрабатывает миллионы часов аудио и API вызовов ежедневно, работает в режиме meritocracy без бюрократии, с высокой степенью ответственности и влияния каждого сотрудника.

Location: Abqaiq, Saudi Arabia We are looking for an experienced Senior Electrical Engineer with 20+ years of experience in electrical engineering, project execution, construction, and commissioning. The candidate should have strong expertise in large-scale power generation, transmission, and distribution projects. Key Responsibilities Lead electrical engineering, construction, pre-commissioning, and commissioning activities. Ensure project execution complies with contract requirements, schedule, cost, HSE, quality, and company procedures. Review electrical designs, drawings, specifications, and technical documentation. Supervise electrical equipment installation, testing, inspection, and commissioning. Coordinate with project managers, engineers, contractors, vendors, clients, and other stakeholders. Conduct site inspections and resolve technical and construction issues. Ensure electrical systems are designed and installed in accordance with applicable standards and project requirements. Requirements Bachelor’s Degree in Electrical Engineering. 20+ years of relevant experience in electrical engineering and project management/execution. Strong experience in power generation, transmission, and distribution systems. Hands-on experience in equipment installation, testing, pre-commissioning, and commissioning. Proficiency in ETAP and familiarity with Flowstar, MS Office, PLC, SCADA, DCS, network communication protocols, and vibration analysis software . Knowledge of electrical design principles, power systems, circuit analysis, and control systems. Experience with laser alignment tools , equipment, and construction tooling. Strong communication, leadership, and stakeholder management skills. Full professional proficiency in English. Preferred Certifications Vibration Analyst – ISO Category I Certified Seal Assembly Artisan

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости. Будет плюсом: — Multi-agent системы; — LangGraph; — MCP; — Langfuse / LangSmith; — Elasticsearch / OpenSearch; — Open-source LLM: Qwen, Llama, DeepSeek и др.; — vLLM / Ollama; — Kafka / RabbitMQ; — Kubernetes; — Оптимизация token usage, latency и стоимости LLM; — Guardrails и защита от prompt injection; — Highload-системы. Важно: Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.

Задачи: — Проектировать, создавать и внедрять модели машинного обучения для прогнозирования ключевых бизнес-показателей, таких как отток, расширение, конверсия и вовлеченность клиентов. — Разрабатывать и поддерживать масштабируемые ML-пайплайны для непрерывного приема данных, переобучения моделей, проверки производительности и предоставления предсказаний в продакшене. — Работать с большими структурированными и неструктурированными данными, применяя современные методы машинного обучения и большие языковые модели (LLM), если они приносят измеримую бизнес-ценность. — Мониторить модели в продакшене, улучшать их производительность со временем, обеспечивать надежность через тестирование, валидацию и непрерывную итерацию. — Сотрудничать с инженерами данных, менеджерами продуктов и бизнес-стейкхолдерами для создания ML-решений, решающих реальные задачи клиентов и бизнеса. — Владеть ML-решениями на всех этапах — от определения проблемы и экспериментов до внедрения в продакшен, мониторинга и оптимизации. Требования: — 3–5 лет профессионального опыта в области машинного обучения, прикладного машинного обучения, науки о данных или смежных областях. — Степень бакалавра в области компьютерных наук, математики, статистики, инженерии или другой количественной дисциплины. — Магистратура или PhD приветствуются, но не обязательны. — Глубокое понимание методов машинного обучения и статистического моделирования, включая регрессию, классификацию, анализ выживаемости, причинно-следственный анализ, uplift-моделирование и другие. — Опыт разработки моделей на больших реальных данных, включая инженеринг признаков, валидацию моделей и работу с несовершенными данными. — Опыт работы с неструктурированными данными с использованием эмбеддингов, дообучения, векторных представлений и современных NLP-техник. — Сильные навыки программирования на Python с опытом создания программного обеспечения промышленного уровня. — Уверенные навыки SQL и опыт работы с облачными хранилищами данных (предпочтительно Snowflake). — Опыт развертывания, обслуживания и мониторинга моделей машинного обучения в продакшене. — Знание дизайна экспериментов, A/B тестирования или причинно-следственного анализа будет плюсом. — Опыт работы с инструментами оркестрации рабочих процессов, такими как Airflow, dbt или аналогичными, приветствуется. — Умение использовать AI-инструменты для разработки, например Claude Code, Cursor, GitHub Copilot и др. Условия: — Полная занятость. — Удаленная работа из Кракова, Польша. — Годовой базовый оклад от 98 000 до 146 000 евро. — Возможность получения бонусов, льгот и других стимулов, которые обсуждаются на этапе предложения. Дополнительно: — Работа в команде Enterprise Machine Learning, которая создает интеллектуальные системы для улучшения бизнес-решений. — Взаимодействие с продуктовой, инженерной и бизнес-командами. — Компания придерживается принципов равных возможностей и инклюзивности. — Использование AI и автоматизированных систем для оценки заявок в соответствии с законодательством. — Возможность получения разумных приспособлений для соискателей с инвалидностью.

Требования: — B.Tech./M.Tech и 1+ года опыта, связанного с оценкой и оптимизацией энергопотребления и производительности.

Задачи: — Разрабатывать и поддерживать ETL процедуры в Airflow — Проектировать, реализовывать и внедрять распределённые системы обработки и хранения данных — Участвовать в развитии архитектуры хранилища — Работать с реляционными/NoSQL базами данных — Разрабатывать и поддерживать процедуры автоматизации аналитической инфраструктуры Требования: — Уверенное знание SQL — Уверенное знание Python — Опыт разработки ETL процедур от 3-х лет — Опыт работы с реляционными СУБД — Навыки командной разработки в Git — Будет плюсом опыт работы с современными code-driven ETL/ELT инструментами, распределенными колоночными СУБД (ClickHouse, Vertica, Greenplum), Docker, Kubernetes, S3 хранилищем, CI/CD процедурами Условия: — Официальное трудоустройство и конкурентная заработная плата — Удаленный формат работы с возможностью работать в офисе рядом с метро Дмитровская, Савеловская — Предоставление современной рабочей техники, дополнительного монитора — Гибкое начало рабочего дня по согласованию с руководителем — Медицинское страхование (ДМС со стоматологией), страхование от несчастных случаев и критических заболеваний после испытательного срока — Консультации психолога от сервиса «Ясно» — Поддержка в обмене знаниями и идеями, поощрение выступлений на митапах — Бесплатная подписка на сервис корпоративных скидок и предложений BestBenefits и доступ к онлайн-библиотеке издательства «МИФ»