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Location: Intellias Meet your recruiter Diana Meneses diana.meneses@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Colombia, United States Remote APPLY NOW REFER A FRIEND We are looking for a Middle Data Engineer to develop and modernize enterprise data integration solutions within a Microsoft-based data ecosystem. The role combines strong hands-on experience with Microsoft SQL Server and SSIS with growing adoption of Microsoft Fabric for modern ETL/ELT, data warehousing, and analytics workloads. What project we have for you The project supports enterprise data integration and analytics for a large global manufacturing organization. The data landscape integrates information from ERP, business applications, APIs, databases, and flat files. The team maintains existing SQL Server / SSIS solutions while progressively adopting Microsoft Fabric and modern cloud-based data architecture. The role is primarily focused on data engineering, ETL/ELT, integration, and data platform development , rather than dashboard development. What you will do Develop and maintain data integration solutions using SQL Server, T-SQL, and SSIS . Build and support ETL/ELT pipelines in Microsoft Fabric . Integrate data from ERP systems, applications, APIs, databases, and files. Develop and optimize SQL queries, stored procedures, and database objects. Support migration and modernization of legacy data workloads toward Microsoft Fabric. Implement data validation, monitoring, logging, and error-handling mechanisms. Troubleshoot and optimize data pipelines and scheduled ETL processes. Support data warehouse and Lakehouse structures for downstream analytics. Collaborate with BI, application, and business teams on data requirements. Maintain technical documentation and engineering standards. What you need for this Requirements: 7+ years of experience in Data Engineering, ETL, Data Warehousing, or BI development . Strong hands-on experience with Microsoft SQL Server and T-SQL . Experience developing and supporting SSIS packages and ETL processes . Practical experience with Microsoft Fabric . Experience with Fabric components such as Data Pipelines, Lakehouse, Data Warehouse, or Dataflows Gen2 . Strong understanding of ETL/ELT patterns , data integration, and data transformation. Experience with relational database design and data warehousing concepts . Ability to develop and optimize stored procedures, views, functions, and complex SQL queries. Experience troubleshooting data pipelines, scheduled jobs, and integration failures. Understanding of data validation, error handling, monitoring, and data quality. Experience integrating data from multiple enterprise systems and data sources. Nice to Have: Experience with Azure Data Factory or Azure Synapse Analytics . Understanding of OneLake and Medallion Architecture . Experience with Power BI datasets or semantic models. Experience integrating ERP systems such as SAP . REST API and file-based integrations. Git, Azure DevOps, or CI/CD experience. 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: Canada; Uruguay; Costa Rica; Colombia; Argentina; Paraguay; South Africa; Panama; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re looking for a hands-on Engineering Manager to lead a cross-functional Consumer pod focused on building and scaling core Krak experiences. This leader will guide a team of Frontend (React / React Native) and Backend (Rust) engineers to deliver seamless, performant user experiences across Kraken’s primary consumer surfaces. You’ll work closely with Product, Design, and other Engineering Managers to ensure Krak delivers exceptional UX, technical quality, and operational reliability. This role is an opportunity to shape high-impact, consumer-facing functionality used daily by a global user base. THE OPPORTUNITY - Lead a cross-functional team of frontend and backend engineers responsible for core Krak consumer experiences. - Own the end-to-end UX for key Krak features across mobile and client platforms. - Guide the delivery of high-quality consumer applications, with a focus on usability, performance, and scale. - Partner with Product Managers and Designers to define and deliver high-impact features with measurable business and customer value. - Collaborate with other Engineering Managers and Tech Leads to maintain consistent engineering standards across services and client platforms. - Champion engineering excellence, maintainable architectures, and code quality. - Mentor engineers and foster a culture of technical growth, collaboration, and inclusivity. - Strengthen team organization and delivery using agile processes, project tracking, and engineering metrics (e.g., DORA, cycle time). SKILLS YOU SHOULD HODL - Proven experience leading engineering teams delivering customer-facing products at scale. - Experience managing combined frontend and backend engineering teams. - Deep technical background in React Native with a solid understanding of modern frontend architectures. - Strong cross-functional leadership, able to align frontend and backend efforts in a complex, multi-platform environment. - Excellent communication and stakeholder management skills. - Empathy for the customer and a passion for building intuitive, performant consumer experiences. - Experience building large-scale consumer or financial products. NICE TO HAVES - Background in systems design or distributed architectures. - Working knowledge of Rust (or similar languages such as Go or C++), and familiarity with async architectures, APIs, and microservices. - Experience in the payments and card domains. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Workplace: remote Requirements 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains and adapt technical solutions accordingly Strong communication skills to interact with both technical and non-technical client stakeholders Experience working in agile, fast-paced project environments with shifting priorities Nice to have Experience with Snowflake Databricks or Snowflake certifications (e.g., SnowPro Core, Databricks Certified Data Engineer) Familiarity with BI tools such as Power BI, Tableau, or Looker Previous experience in sectors like finance, healthcare, retail, or manufacturing is a plus Responsibilities Interact with client stakeholders to surface data requirements, audit existing systems, and architect scalable, future-proof solutions Building medallion architecture and strong canonical models for ORM Design, build, and maintain production-grade ELT/ETL pipelines using modern data stack tools and frameworks Deploy and govern cloud-based data platforms on Azure and AWS, selecting the right approach for each engagement's unique constraints Champion data governance, security, and compliance standards Produce clear technical documentation and lead knowledge transfer sessions that genuinely enable client teams to operate independently Support project scoping, estimation, and reporting with delivery managers and consultants We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely English courses online Corporate medical insurance covering services of private and public medical centers Corporate parties and events for employees and their children Gym membership compensation, corporate sport competitions (cybersport included) 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Aliya hh@itransition.com

Location: Москва **О команде** Мы занимаемся независимой оценкой качества и модельных рисков Kandinsky – семейства генеративных моделей для создания и редактирования изображений, видео и аудиовизуального контента, а также моделей мира (world models). Наша задача – находить слабые места моделей, проверять выбранные подходы к оценке и готовить рекомендации, которые помогают принимать решения о релизе и возможных сценариях применения моделей. Мы работаем с новыми версиями Kandinsky до их выхода к пользователям. Разрабатываем собственные методологии, бенчмарки и инструменты полного цикла, объединяя автоматические метрики, human evaluation и подходы LLM/VLM-as-a-judge. **О роли** Мы ищем специалиста на стыке исследований и инженерной разработки. В этой работе не всегда существует готовая методология или универсальная метрика. Нужно определить, из чего складывается качество модели, спроектировать проверяемый эксперимент и реализовать воспроизводимый evaluation-пайплайн. Роль охватывает весь цикл оценки: от формулирования критериев и подготовки тестовых данных до анализа результатов и рекомендаций для команды разработки. Важно не только измерить качество модели, но и понять, насколько она подходит для реальных пользовательских и бизнес-сценариев, какие ограничения критичны и что осталось непроверенным. Обязанности **Проектировать оценку с нуля** * декомпозировать качество на измеримые критерии и собирать под них тестовые сценарии, промпты и выборки * проектировать оценку там, где готовой методологии ещё нет. **Разрабатывать evaluation-пайплайны** * реализовывать на Python инструменты для запуска моделей, сбора результатов и расчёта метрик * обеспечивать воспроизводимость экспериментов и развивать внутреннюю библиотеку оценки * готовить инструкции для асессоров и контролировать качество разметки. **Строить VLM-as-a-judge** * разрабатывать судей под конкретные критерии, учитывать их bias и ограничения * понимать, где автоматическая оценка работает, а где без человека нельзя. **Разбираться в ошибках моделей** * понимать ограничения diffusion-моделей и причины типовых артефактов * отличать реальную проблему модели от ошибки методологии или замера. **Формировать заключение по модельному риску** * анализировать качество по отдельным сценариям, типам промптов и срезам, а не только по среднему значению * формулировать условия релиза, ограничения и явно фиксировать то, что осталось непроверенным. Требования **Хорошее понимание устройства генеративных моделей**: * понимание принципов работы Transformers, diffusion- и мультимодальных моделей и основных задач: T2I, Image Editing, T2V, Audio, Video-Audio. * понимание типовых ограничений, ошибок и артефактов моделей * способность разбираться в причинах ошибок и способах их проверки. **Способность проектировать оценку качества моделей**: * декомпозировать качество на измеримые критерии и проектировать тестовые сценарии, промпты и выборки. * выбирать корректный подход к оценке: human evaluation, автоматические метрики, LLM/VLM-as-a-judge, а также подходящие модели для сравнения; * проверять валидность метрик и уметь проектировать оценку для новых задач и модальностей, где ещё нет готовой методологии. **Навыки работы с LLM и VLM:** * prompt engineering, structured output, tool calling и работа с контекстом и ограничениями моделей * построение и валидация LLM/VLM-as-a-judge, включая проверку автоматической оценки относительно человеческой * понимание нестабильности, bias и галлюцинаций моделей * умение подбирать модель под конкретную исследовательскую задачу. **Понимание AI-агентов и агентных систем**: * понимать, чем агент отличается от обычного вызова LLM; * знать основные компоненты агентной системы: роли, инструменты, контекст, память и оркестрация * понимать, когда агентный подход действительно полезен, а когда создаёт лишнюю сложность * уметь оценивать надёжность и ограничения агентных решений. **Умение проводить технический и научный ресерч**: * находить и критически разбирать актуальные статьи, бенчмарки, модели и реализации * сравнивать решения с актуальными подходами и оценивать достоверность результатов * переводить ресерч в конкретные идеи для тестирования и развития внутренних подходов. **Будет плюсом** **Умение работать с агентами и субагентами**: * декомпозировать задачи между агентами, задавая им чёткие роли и зоны ответственности * управлять контекстом и изоляцией субагентов, организовывать проверку результатов * собирать результаты нескольких агентов в единое решение и критически оценивать их выводы * **Навыки вайбкодинга и AI-assisted coding**: * уверенно работать с Codex, Claude Code и другими coding-агентами * проверять и дорабатывать сгенерированный код, использовать агентов для тестирования * понимать архитектуру создаваемого решения **Продуктовое мышление**: * связывать тестирование с реальными пользовательскими сценариями и понимать, какие ошибки критичны для продукта * приоритизировать направления проверки и переводить результаты оценки в рекомендации для разработки * понимать влияние результатов на релиз и дальнейшее развитие модели. Условия * комфортный современный офис рядом с м. Кутузовская * возможность выбрать удобный график - офис / гибрид * ежегодный пересмотр зарплаты и 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 * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера

-Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. -Проектирование и наполнение баз данных и аналитических витрин для оценки использования CodeGen-платформы.

Location: Las Vegas, United States Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Нам нужен Data Engineer в Rahmat Tech.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal London, UK Austin, US About the role As a Systems engineer in the WARP team you will join a team that works on the backend system that allows our customers to manage their devices via our Zero Trust Network solution. In this role, you will work on the design, capacity planning, development, maintenance and enhancement of features that make our WARP and Zero Trust product, such as Device Posture, Orchestration and Notification. We are looking for engineers that are versatile and eager to contribute to the technical direction of the product, with a focus on growth, scalability and high-availability. You will collaborate with your team on the planning, priority, deadlines and deliverables of solutions to our customers requirements. Examples of desirable skills, knowledge and experience At least 3 years of professional software engineering experience Experience managing high available systems with disaster recovery support. Experience in at least of the following languages: Go, Rust Experience in Typescript Experience designing and integrating RESTful APIs at scale Knowledge of SQL and common relational database systems such as PostgreSQL and MySQL Knowledge on distributed NoSQL databases Excellent debugging experience and optimization skills Experience with Kubernetes Responsibilities Design, develop, test, deploy, maintain, and enhance large scale software solutions. Own features end-to-end and contribute to the team projects and objectives Collaborate with a distributed team of engineers through code reviews, design discussions and knowledge sharing. Contribute to the team roadmap by identifying engineering opportunities and improvements for the success of the team and product. Collaborate with other Zero Trust teams on goals, outcomes, and timelines. Help the team meet project priorities, deadlines, and deliverables. Compensation For Portugal based hires: Estimated annual salary is between €54,000 - €75,000. Equity This role is eligible to participate in Cloudflare's equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Проектировать и создавать ИИ-инструменты для автоматического производства дизайн-макетов. Разрабатывать ИИ-агентов и многошаговые процессы для решения дизайнерских задач.

Positron AI is looking for a Senior FPGA Design Engineer to develop FPGA and ASIC designs, build prototypes, validate systems, and optimize networking and digital logic functions.

— Автоматизация инфраструктуры, CI-пайплайны; — Миграция между ДЦ, запуск новых проектов;

零一万物AGI is looking for an AI Efficiency Engineering Intern to develop enterprise AI platform modules and explore AI agent applications.

Lovable is looking for a Forward Deployed Engineering Lead to build and lead a forward deployed engineering team while delivering customer solutions.

3+ лет опыта работы в Data Engineering. Сильные навыки SQL и производственного уровня Python.

Location: Tokyo Workplace: Hybrid MECHANICAL AIT ENGINEER - JAPAN - Team: Global Manufacturing Organization – AIT Engineering - Location: Tokyo, Japan - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required).   WHO ARE WE? ICEYE is the global leader in synthetic aperture radar (SAR) satellite technology, revolutionizing Earth observation with real-time, all-weather, day-and-night imaging. As the owner and operator of the world's largest SAR satellite constellation, we provide critical insights that empower industries like defense, maritime, disaster management, insurance, and finance to make informed decisions. Headquartered in Finland and operating internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US, our diverse team of more than 900 experts from nearly 60 countries shares a bold mission: to enhance life on Earth by delivering reliable, data-driven solutions. At ICEYE, we foster a culture of curiosity, innovation, and collaboration, pushing the boundaries of what's possible in space technology to solve the world's toughest challenges.   WHY JOIN ICEYE? At ICEYE, we're not just launching satellites — we're redefining what's possible with SAR technology. Join a team of passionate innovators solving real-world challenges and making a tangible impact. We foster a dynamic and inclusive environment where your ideas are valued, your growth is supported, and your contributions truly matter. With continuous learning opportunities, cutting-edge projects, and collaboration with industry-leading experts, you'll have the chance to grow, innovate, and shape the future of Earth Observation.   WHAT WILL YOU DO IN THIS ROLE? ICEYE is seeking a Mechanical AIT (Assembly, Integration & Testing) Engineer to own the mechanical side of production end to end -- integration, testing, supplier selection, continuous improvement, and adapting processes as new designs come through. In this role, you will be the technical expert responsible for satellite mechanical integration and vibration testing, ensuring that the structure, payload, solar arrays, propulsion and thermal hardware come together as a flight-ready unit that survives launch. You will act as the primary technical contact for mechanical integration issues and drive improvements in build cycle time, test efficiency and build reliability, ensuring every spacecraft meets ICEYE’s high standards for reliability and mission success.   Key Responsibilities - Lead the mechanical integration of the satellite (structure, payload, solar arrays, propulsion, harness routing, thermal hardware), including torque control, bonding, alignment and mass properties measurements - Own vibration test campaigns end to end: test specification, fixtures, instrumentation, execution, data analysis and reporting, with test levels and FEM correlation defined together with Structures Engineering - Act as primary technical contact for mechanical integration issues, performing root cause analysis on nonconformances and coordinating with Mechanical/Structures Engineering to resolve anomalies - Survey, evaluate and select suppliers and test facilities for mechanical parts, MGSE and fixtures, including audits and first article inspections - Contribute to and improve AIT documentation, including mechanical integration procedures, test plans and as-built configuration records - Interface with Global AIT, Mechanical/Structures Engineering, QA and Launch teams to ensure alignment on product standards and lessons learned - Drive continuous improvement and automation in mechanical integration methods, test data processing and build cycle time REQUIREMENTS & QUALIFICATIONS - 3+ years of hands-on experience in mechanical assembly, integration or testing of complex systems, preferably in aerospace or high-reliability hardware industries - Hands-on experience planning and executing vibration testing (sine, random, shock), including fixture design, accelerometer instrumentation and test data analysis - Solid understanding of spacecraft mechanical architecture: structures, fasteners and torque control, bonding, alignment, mass properties and thermal hardware - Experience writing and executing integration and test procedures under a quality and configuration management system (ISO 9001 / AS9100 or equivalent) - Experience handling non conformances and performing root cause analysis - Ability to read engineering drawings and use 3D CAD for fixture and MGSE design, including GD&T - Proficient English (written and spoken) for cross-functional collaboration   NICE TO HAVE - Experience with Atlassian Cloud tools (Jira, Confluence) - Track record of enabling design-for-testability (DFT) and design-for-manufacturing (DFM) - Lean and Six Sigma experience - Experience with supplier audits, first article inspections or vendor selection - Experience with FEM test correlation or launcher interface requirements (e.g. Falcon 9 rideshare, ECSS-E-ST-10-03) - Experience with thermal vacuum, acoustic or deployment testing with gravity offload - Lifting operations certification or experience with MGSE proof-load testing - Proficient Japanese (written and spoken)   WHAT'S IN IT FOR YOU? - A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach. - An independent role with a supportive and diverse work environment. - Health insurance. - Time for self-development, research, training, conferences, or certification schemes. - Relocation support, where applicable (e.g., flight tickets, accommodation, relocation agency support). - Inspiring, collaborative offices and silent workspaces that enable you to focus.   DIVERSITY, EQUITY, AND INCLUSION At ICEYE, diversity is more than just a value — it's our greatest strength. We're dedicated to creating an inclusive environment where every voice is not only heard but celebrated. Diverse perspectives drive innovation and creativity, so we actively seek individuals from all backgrounds and experiences. No matter your background, we encourage you to bring your authentic self to the team. Join us and be part of a workplace where differences are embraced and valued, because together, we're stronger. Apply now to begin your ICEYE journey and help us make the impossible possible. Learn more about ICEYE and life at our company at iceye.com http://iceye.com. Ready to launch your career? Apply now and help us build the future of Space Tech!

Location: Москва Мы - команда GigaChat Pretrain Data, готовим pretrain данные для GigaChat и GigaChat Vision. Pretrain данные - это фундамент, с которого начинается путь современной LLM модели и то, от чего наиболее зависит ее итоговое качество. Сырых данных более 40Пб и основная задача заключается в том, чтобы из этого хаоса сделать датасет, на котором будет обучена лучшая LLM в России. Обязанности * генерировать синтетические данные: математика, код, произвольная синтетика с сидами - документами из Web * исследовать токенизацию и ее влияние на качество модели (возможно написание статей) * решать задачи кластеризации миллиардов документов * исследовать разные факторы, которыми обладают текстовые данные * генерировать Vision данные для прокачки VLM * разрабатывать новые алгоритмы парсинга HTML и исследовать его влияние на качество модели * исследовать зависимости между pretrain данными и agentic capabilities итоговой модели * разрабатывать стабильную инфраструктуру, которая будет поддерживать проведение сотен и тысяч экспериментов над данными. Требования * имеешь коммерческий релевантный опыт связанный с NLP или построением инфраструктуры для данных от двух лет. Будет плюсом: * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации * опыт с MapReduce системами. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы (2 дня в офисе, 3 дня на удалёнке) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * льготная программа ипотеки для сотрудников * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы - команда GigaChat Pretrain Data, готовим pretrain данные для GigaChat и GigaChat Vision. Pretrain данные - это фундамент, с которого начинается путь современной LLM модели и то, от чего наиболее зависит ее итоговое качество. Сырых данных более 40Пб и основная задача заключается в том, чтобы из этого хаоса сделать датасет, на котором будет обучена лучшая LLM в России. Обязанности Основные задачи будут лежать в следующих сферах: Инфраструктура: * поддержка данных для обучения VLM на кластере YTSaurus. * построение удобной платформы для эффективного анализа/обработки данных (фильтрация, дедупликация и пр.) * автоматизация процессов через Airflow. RnD: * поиск и синтез данных для обучения VLM (есть несколько областей: OCR/Charts&Tables/Grounding&Counting/General и тд). * исследование пайплайнов по созданию чистых и разнообразных датасетов (на примере FineVision). Эксперименты и метрики: * Обучение VLM на подготовленных данных. * проведение исследований релевантных intrain метрик, бенчмарков для замера качества. Требования * Опыт построения дата пайплайнов и data quality процессов * Опыт работы в production ml команде (большие нагрузки как преимущество) * Понимание задач CV и современных подходов в больших языковых моделях * Опыт решения задач, связанных с влиянием данных на качество VLM * Практический опыт работы с VLM. Условия * комфортный современный офис рядом с м. Кутузовская * возможность выбрать удобный график – офис/гибрид/удаленка (в РФ) * 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 для сотрудников по дисконтной прогамме * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Data Engineer at GitLab, you'll build, run, and maintain the pipelines and infrastructure that bring data from our enterprise applications, internal systems, and GitLab's software as a service (SaaS) platform into our data platform. Your work will power company reporting, data science, and artificial intelligence (AI) self-service. You'll own features end to end, from source integration to tested, monitored, documented data ready for use. You'll focus on keeping the platform reliable, secure, and cost-efficient as data volumes and AI usage grow, and making governed data ready for AI tools, agents, and Model Context Protocol (MCP)-based access. This is an AI-first role: you'll use AI coding agents every day while maintaining high standards for code review and testing. You'll report to the Director, Data Platform. What you’ll do Build, extend, and maintain extract, load, transform (ELT) pipelines from enterprise applications such as Salesforce, Zuora, Zendesk, and Marketo, internal systems, and the GitLab SaaS platform. Integrate data through application programming interfaces (APIs) and event sources such as Snowplow. Manage and maintain the infrastructure behind the platform, including SaaS tools such as Snowflake, Fivetran, and Monte Carlo, and self-managed services such as Airflow and Kubernetes. Write maintainable, well-tested, performant Python and Structured Query Language (SQL) code that meets our internal standards, and review GitLab team members' merge requests. Own day-to-day platform operations: triage and resolve failed pipelines, infrastructure issues, and GitLab team member requests. Use monitoring, service-level agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient. Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use. Use AI coding agents such as Claude Code, OpenCode, GitLab Duo, or similar tools to speed up development, debugging, testing, and documentation without compromising review rigor. Apply role-based access control (RBAC) and masking policies to make governed data available to AI tools and agents. Handle data subject to Sarbanes-Oxley (SOX) controls, material nonpublic information (MNPI), and personal data safely. Ship medium-sized features independently in small, iterative merge requests, and document architecture and runbooks in the handbook. What You'll Bring Professional experience shipping production data pipelines in Python. Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred. Hands-on experience with ELT or extract, transform, load (ETL) pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion. Experience with orchestration tools such as Airflow, familiarity with dbt, and solid data modeling fundamentals, including Kimball dimensional modeling. Experience running and troubleshooting data infrastructure, with comfort using Git-based workflows, continuous integration and continuous delivery (CI/CD), and code review. Hands-on experience using AI coding tools in your daily work, with an understanding of where they help and where they fall short. Clear written communication, the ability to use GitLab, and comfort working asynchronously in a fully remote organization in line with GitLab's values. Preferred, not required: experience with Snowflake; Docker, Kubernetes, Google Cloud Platform (GCP), or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration. About the team The Data Platform team within Enterprise Data is responsible for a scalable, reliable and secure data platform for data analytics at GitLab. That includes managing and maintaining the infrastructure we use, both SaaS and self-managed, and building and maintaining the data pipelines that bring data into it. We make data reliable, secure and ready for analytics, data science and AI tools. As more questions go straight to AI tools and agents, the platform underneath has to be more reliable, better governed and more cost-efficient than ever. We're fully remote and globally distributed, and work asynchronously through issues, merge requests and the handbook. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .