Проектировать и развивать LLM-пайплайны для ИИ-помощника: диалоги, уточняющие вопросы, рекомендации, саммари, инсайты, объяснения медицинских данных простым языком. Разрабатывать агентные сценарии: сбор данных из внешних источников, валидация данных, обогащение профиля, уточнение рисков, подготовка данных к приёму врача, контроль следования рекомендациям.
УдалённоseniorГеография найма не уточнена, офис: Москва
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview:
The PlayStation Store and Commerce platform sits at the center of how millions of players around the world discover, purchase, and engage with PlayStation content. Our Technical Operations organization is responsible for ensuring these experiences remain highly available, resilient, performant, and ready to support some of the largest entertainment launches in the world.
We are looking for a Senior Engineering Manager to lead our Discover Operations (Site Reliability Engineering - SRE) and Sustainability Engineering teams, combining SRE, operational excellence, and full-stack software engineering to improve both the day-to-day reliability and long-term sustainability of the PlayStation platform.
As Senior Engineering Manager, you will lead a team of Site Reliability and Software Engineers responsible for the reliability, resilience, and sustainability of critical services supporting the Discover experience across the PlayStation ecosystem and beyond.
Your teams will partner closely with product engineering, architecture, security, program management, and other technical operations teams to ensure our platforms are prepared for both everyday customer demand and major global business events.
This role goes beyond traditional production operations. You will help evolve how we operate our platforms, moving from reactive support toward proactive, data-driven, and increasingly adaptive operations leaning into the latest technology trends such as machine learning and AI.
You will also lead our Sustainability Engineering efforts, leading full-stack development teams to modernize and sustain critical customer experiences across PlayStation platforms while reducing operational complexity, technical debt, and long-term risk.
What You’ll Be Doing:
Own the reliability, availability, performance, and operational health of customer-facing PlayStation Store platforms, including Catalog, Entitlements, Search, and Storefront experiences.
Establish and evolve SRE practices across observability, SLOs, capacity, resilience, automation, incident management, and operational readiness.
Partner with development teams to build reliability and operability into the software lifecycle, improving production readiness and reducing operational risk.
Lead operational readiness for major launches, seasonal events, and high-traffic business moments, ensuring platforms are tested, scaled, monitored, and prepared.
Drive continuous improvement through incident learning, automation, and systemic remediation, reducing operational toil and improving platform resilience.
Lead Sustainability Engineering and modernization efforts, addressing technical debt, lifecycle management, and legacy technology retirement.
Leverage telemetry, operational data, and emerging AI/ML capabilities to identify risk and advance proactive, adaptive operations.
Develop engineering roadmaps balancing immediate operational needs with long-term reliability, modernization, and sustainability investments.
Recruit, mentor, and develop engineers and engineering leaders while fostering a culture of ownership, technical excellence, continuous improvement, and customer focus.
Build strong cross-functional partnerships and clearly communicate technical health, risk, priorities, and investment needs to engineering and senior leadership.
What We’re Looking For:
Significant experience leading software engineering, SRE, production engineering, or technical operations teams supporting large-scale distributed systems.
Demonstrated experience managing and developing high-performing teams, including line managers, senior, and staff-level engineers.
Strong understanding of SRE principles and practices, including availability, SLOs/SLIs, observability, incident management, capacity planning, resilience, and automation.
Experience operating high-volume, customer-facing platforms where reliability and performance directly impact customers and the business.
Strong technical background with the ability to engage with engineers and architects on system design, scalability, reliability, and operational tradeoffs.
Experience partnering with software development teams to improve operability, production readiness, and resilience throughout the software lifecycle.
Proven ability to lead through complex production incidents and drive systemic improvements through post-incident learning.
Experience developing and executing multi-quarter technical strategies and engineering roadmaps.
Strong communication and cross-functional leadership skills, with the ability to translate complex technical issues and risks for technical and executive audiences.
Experience with cloud-native technologies such as AWS, Kubernetes, Terraform, CI/CD platforms, and modern observability tooling.
Nice to Have:
Experience supporting commerce, e-commerce, payments, digital storefronts, or large-scale consumer platforms.
Experience leading modernization or Sustainability Engineering programs for mature or legacy platforms.
Experience designing or operating multi-region, highly available distributed architectures.
Familiarity with security, compliance, vulnerability, and operational risk management at scale.
Experience applying AI/ML, intelligent automation, or advanced analytics to operational engineering challenges.
Experience preparing platforms for major global events and unpredictable traffic patterns.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Aberdeen, United Kingdom
We Are?
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.
For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land.
We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.
Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency.
With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
The Role and Responsibilities
A new permanent opportunity has arisen for a Contract Support Engineer to work within Lifting Solutions Business Line. This role will be onshore based and you will be tasked with managing a Cranes and Lifting client contract, ensuring all aspects of this contract are delivered from a quality, timescale, health and safety and maintenance point of view. Other duties and responsibilities will include;
Responsible for the delivery of the Contracted Services to the Client including Safety, Quality, Core Personnel and equipment provision, Maintenance and Project Delivery
Deliver all aspects of client account, including but not limited to: Sales enquiries, mobilisations, demobilisations, aged debt, equipment requirements, client meetings, planning & coordination, technical support
Responsible for delivering plans in place to support client Integrated Asset Plan and EnerMech support capability
Act as the Clients representative in ensuring any wider EnerMech departments deliver as per commitments
Minimise any maintenance backlog and ensure that any Safety Critical Maintenance backlog is immediately identified to the Client and internally to the EnerMech responsible person, where applicable in business line
Provide first line technical support and coordinate any client requirements including breakdowns
Manage the maintenance feedback loop to FMEA
The Requirements
To be successful for this position you will have previous experience in a similar role and a good technical knowledge of cranes. You may have come from a Project Engineer or an Account Management background, acting as a client representative/account manager is a key part of this role. Holding a mechanical engineering qualification is preferred. Communicating clear standards for performance is key and encouraging employee involvement in QHSE. You will have a proven track record of client interfacing and have a high emphasis on customer service.
Diversity & Inclusion
EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.
Location: Belgium, Zaventem
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Why PlayStation?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
The
Direct to Consumer (D2C) Data Science
organization comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences.
Role overview:
Within D2C Data Science, the D2C ML Engineering team is the center of excellence for machine learning engineering. We build and operate the in-house machine learning platform that data scientists use to design, deploy, monitor and experiment with the models powering production decisions across the D2C portfolio.
This is a hands-on software engineering role supporting the production use of machine learning. You will build services, pipelines and tools that deliver solutions across payments, fraud prevention and other D2C use cases, including bringing machine learning capabilities into production. You will take ownership of defined components or improvements within our existing architecture, working closely with data scientists and other ML engineers across a globally distributed team. Strong software engineering foundations and a practical understanding of machine learning will help you grow into the wider ML lifecycle.
This role follows a hybrid working arrangement, with work primarily performed remotely and attendance at the Brussels office as needed.
What you'll be doing:
Contribute to services and pipelines that support activities such as model training, batch or real-time scoring, and production monitoring.
Develop and maintain data transformations, feature aggregations and integrations using Python or Java and SQL.
Help integrate model deployments and A/B experiments in partnership with data scientists and other ML engineers.
Improve automated testing, deployment, monitoring and troubleshooting, and participate in the team’s on-call rotation (no nights).
What we're looking for:
Master’s degree in Computer Science, Machine Learning or a related field, with 3+ years of relevant experience.
Strong software engineering foundations, with experience building, deploying and supporting production systems using Python or Java, including monitoring and troubleshooting.
Ability to use AI-assisted development tools effectively, assess their output, and validate changes through appropriate testing and monitoring.
Practical understanding of machine learning concepts and workflows, with some experience applying or supporting ML/AI systems and using SQL to prepare and investigate data.
Ability to work closely with data scientists and product partners across a globally distributed team, and translate their needs into reliable software.
Desirable skills:
Exposure to fraud, payments, risk, account security or other adversarial e-commerce problem spaces.
Interest or experience in generative AI applications and agentic workflows.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
• Опыт в DevOps / Cloud от 5 лет, основная платформа — AWS. • Практический опыт развёртывания ML-моделей или Python-сервисов на AWS, включая SageMaker.
Workplace: Удаленно
Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ.
Мы - команда платформы данных в направлении Trust & Safety.
Наша миссия - обеспечить T&S доступом к достоверным, актуальным и структурированным данным, предоставив надежную технологическую платформу и инструменты для их эффективного использования.
Мы строим платформу, которая объединяет в себе решения для:
- Хранения больших данных;
- Высокопроизводительных запросов (OLAP);
- Потоковой и батч-обработки;
- Визуализации и оркестрации данных.
Мы ищем разностороннего инженера, который сможет не только проектировать и разрабатывать пайплайны данных, но и активно участвовать в развитии платформенных сервисов, которому интересно разбираться в новом, который не боится задач на стыке разработки и дата инжиниринга.
Обязанности
Проектировать и разрабатывать потоковые процессы, которые читают события из Databus/Kafka и считают онлайн‑признаки, записывая их в Redis и Cassandra.
Проектировать и разрабатывать пакетные процессы, которые читают данные из S3/Iceberg через Trino, считают офлайн‑признаки и пишут результаты обратно в S3/Iceberg и/или ClickHouse.
Следить за тем, чтобы один и тот же признак был согласован между обучением и продакшеном (одна логика расчёта, единый контракт).
Настраивать расписания, пересчёты и бэки, чтобы признаки обновлялись вовремя и выдерживали SLA по свежести.
Работать с качеством данных: добавлять проверки, мониторить аномалии, разбирать инциденты, когда “признак поехал”.
Совместно с DS и аналитиками придумывать новые признаки и помогать перевести их из экспериментальных скриптов в стабильные пайплайны.
Требования
от 5 лет опыта в роли Data Engineer / Backend+Data;
Уверенный опыт работы с Kafka‑подобными очередями (Databus/Kafka): продюсеры/консьюмеры, партиционирование, ключи, обработка ошибок;
Практический опыт со streaming‑движком (желательно Flink; Spark Structured Streaming подойдёт, если есть реальный прод‑опыт);
Опыт работы с Redis или Cassandra как онлайновым хранилищем данных/признаков;
Опыт работы с S3‑подобным хранилищем и табличным форматом (Iceberg/Delta/Hudi) и доступа к ним через SQL‑движок (Trino/Presto/Spark SQL);
Отличное знание SQL и опыт работы с ClickHouse;
Python на уровне уверенной разработки data‑скриптов и сервисной логики;
Опыт настройки и сопровождения пайплайнов в Airflow;
Понимание задач ML‑пайплайнов: train/serve skew, пересчёты признаков, влияние задержек и потерь событий.
Условия
Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое;
Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании;
Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.;
Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников;
Скидки и партнерские программы: на обучение, страхование, покупки и многое другое;
Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.
Location: Bangalore
Workplace: hybrid
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
The Role
You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers.
Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer.
You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you.
What You'll Do
Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains.
Build backend data services and loaders in Go and Python.
Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries.
Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes.
Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform.
Investigate hard performance and reliability problems and see them through to resolution.
Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs.
Help set technical direction through architecture discussions, design reviews and code reviews.
Mentor engineers and help set strong engineering and operational practices.
What You Bring
5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on.
Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows.
Go for backend services. You have built and run high-throughput services or data loaders in Go in production.
ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning.
Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost.
Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency.
Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine.
An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.
Nice to Have
Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC.
Graph or distributed key-value stores: entity resolution or clustering on large graphs.
Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design.
Experience building platforms that serve multiple data sources, datasets or product teams.
AI-assisted development, and experience in fintech, compliance or AML.
How We Work
You'll join a small, senior team where everyone owns their work end to end.
We make decisions based on measured evidence, not opinion.
We keep design notes and runbooks next to the code.
We test at production scale and run blameless post-incident reviews.
We use AI coding tools every day, and we use judgement when reviewing what they produce.
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: Москва
Привет! Это GigaChat Vision — команда, которая делает полный цикл обучения VLM моделей, включающий в себя стадии pre-training, SFT и DPO/RL. Мы ищем сильных инженеров и исследователей, которые будут двигать вперед качество мультимодального GigaChat.
_Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_
Обязанности
* Самостоятельная работа в рамках заданного направления развития качества VLM: от планирования, до выкатки в прод;
* Планирование и работа над исследовательскими задачами по архитектуре модели, стратегии и данным обучения;
* Формирование гипотез по улучшению качества модели, самостоятельное планирование экспериментов по их подтверждению и постановка multi-node обучений на большом количестве GPU (тысячи A100/H100);
* Решение сложных инженерных задач, развитие и оптимизация кодовой базы обучения и эвала VLM, написание чистого кода и проведение code review;
* Анализ точек роста и определение способов их закрытия.
Требования
* Сильный технический бэкграунд в modern ML: понимание того, как данные, архитектура и стратегии обучения влияют на итоговое качество модели;
* Опыт полного цикла обучения VLM или LLM;
* Глубокие знания или опыт работы в области computer vision;
* Понимание принципов работы распределенного обучения (FSDP) или опыт обучения моделей на больших GPU кластерах;
* Наличие навыков технического лидерства: проведение code-review, помощь и менторинг младших сотрудников;
* Умение работать, принимать решения и выстраивать процессы в условиях неопределенности;
* Умение и желание взаимодействовать с коллегами, вносить собственные идеи и предлагать пути достижения общих целей.
Условия
**Будет плюсом:**
* Опыт полного цикла обучения VLM;
* Наличие публикаций в области NLP или CV;
* Опыт решения задач по оптимизации обучения;
* Опыт участия в соревнованиях по машинному обучению или программированию.
Location: Москва
Мы — команда GigaChat Data, готовим данные для обучения базовых моделей GigaChat во всех модальностях (Text, Vision, Audio): SFT, RLHF, навыки, безопасность и продуктовые сценарии.
Сейчас ищем специалистов в данные под проекты, связанные с ML на устройствах: офлайн-ассистент, локальное ASR, keyword spotting, VAD/EOU и персонализация.
_Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_
Обязанности
* подготовка данных для обучения и тестирования моделей
* разработка и поддержка data pipeline’ов
* анализ качества моделей через данные и метрики
* поиск точек роста и проблемных сценариев
* работа с продовыми и beta-логами устройств.
Требования
* уверенный Python (алгоритмы, структуры данных, async)
* опыт работы с данными в ML-задачах
* понимание метрик качества моделей
* базовая статистика
* опыт в speech-задачах (ASR, VAD, diarization, keyword spotting)
* опыт построения data pipeline’ов
* опыт с разметкой и краудсорсингом.
Условия
* крупнейшее DS&AI community — более 600 DS-специалистов банка
* дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира
* возможность быть соавтором НИРов и статей для международных конференций
* возможность выбрать удобный формат работы: гибрид или офис
* ежегодный пересмотр зарплаты, годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* ипотека выгоднее до 7% для каждого сотрудника
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: Москва
Мы создаём физическое воплощение роботов — от проектирования деталей до программной начинки.
Аппаратную часть обслуживают наши сервис-инженеры по механике и электрике, а разработкой новых фичей занимается отдельная R&D команда.
Мы ищем единомышленников, которые разделяют нашу страсть к робототехнике и являются экспертами-инженерами.
Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры.
Обязанности
* проектирование кабельных жгутов для мобильных роботов, манипуляторов и других робототехнических систем совместно с электронщиками и конструкторами
* подбор проводов, кабелей, разъемов, контактов, защитных оплеток, кабельных вводов, термоусадки, крепежа и элементов фиксации
* проектирование жгутов с учетом электромагнитной совместимости, механических нагрузок, вибраций, подвижных соединений, радиусов изгиба, удобства сборки и обслуживания, а так же самостоятельное изготовление опытных и мелкосерийных жгутов
* обжим, пайка, сборка и маркировка кабельных соединений
* монтаж и фиксация кабелей в подвижных и неподвижных частях робота, ручной монтаж SMD и THT компонентов, а так же монтаж/ демонтаж, замена BGA/QFN/QFP и других сложных компонентов
* участие в разработке требований к размещению электронной аппаратуры внутри робота
* диагностика и устранение производственных дефектов сборки, проведение технического обслуживания электроники и кабельных систем роботов
* участие в первичном запуске собранных электронных устройств — hardware bring-up.
Требования
* высшее или среднее специальное техническое образование в области электроники, радиотехники, приборостроения, автоматизации, мехатроники или смежных направлений
* отличные практические навыки пайки и монтажа электронных компонентов
* уверенная работа с SMD-компонентами, мелким шагом и многовыводными корпусами
* опыт монтажа и демонтажа компонентов в корпусах: QFN, QFP, BGA, LGA, SMD 0402/0201
* опыт работы с паяльными станциями, термовоздушными станциями, нижним подогревом и другим оборудованием для PCB rework
* умение проводить сложный ремонт печатных плат, включая восстановление дорожек, контактных площадок и поврежденных соединений
* понимание принципов работы аналоговой и цифровой электроники.
Будет плюсом:
* опыт разработки кабельных систем для робототехники, автомобилей, авиации, промышленной автоматики, специальной техники
* опыт работы с промышленными разъемами: Molex, JST, TE Connectivity, Amphenol, Phoenix Contact
* общее понимание современных ИИ-инструментов и их возможностей.
Условия
* комфортный современный офис г. Москва, МЦК ЗИЛ, Автозаводская 23а к2
* формат работы - офисный
* 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 (для вакансий уровня Junior)
* 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: Kyiv; Lviv
Workplace: onsite
Ajax Systems is expending and is looking for a Lead Hardware Engineer to strengthen our team.
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses of any scale. To date, the Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.
We are looking for an expert who brings strategic value: someone who can oversee complex system architectures, consult on cross-departmental optimizations, and mentor the team on high-performance design methodologies. You will be the bridge between innovative concepts and mass-scale manufacturing.
Key Responsibilities
Architecture & Design: Develop sophisticated schematic solutions and PCB layouts for new Ajax devices, ensuring high reliability and scalability.
Strategic Optimization: Proactively identify opportunities for cost reduction and performance enhancement through component unification and innovative architectural shifts.
Project Oversight: Lead complex hardware projects from initial concept through to mass production (10,000+ units/month), ensuring all technical risks are mitigated.
Cross-Functional Consultation: Act as a subject matter expert for the firmware and supply chain teams to optimize the hardware-software interface and manufacturing yield.
Prototype Lifecycle: Lead the “bring-up” process, debugging complex issues and defining rigorous testing protocols for design validation.
Requirements
Advanced Circuit Design: Expert-level calculation of circuit elements and high-fidelity simulations of device behavior.
EDA Mastery: Professional proficiency in Altium Designer (experience with managed libraries and 3D modeling is preferred).
Design for Excellence (DfX): Proven track record of designing for LVD/EMC compliance and mass manufacturing (DFM/DFT).
Power Management: Deep expertise in designing both battery-powered and mains-powered (85–265 VAC) devices.
Full Lifecycle Ownership: Experience preparing comprehensive production documentation (BOM management, Gerber files, assembly drawings) using Git for version control.
Communication: Fluent English is required for technical documentation and international collaboration.
Preferred Qualifications
Supply Chain Leadership: Direct experience working with vendors and manufacturers for high-volume production.
High-Speed Design: Advanced understanding of Signal Integrity (SI) and Power Integrity (PI). Experience with S-parameters, PDN impedance modeling, and TDR measurements.
System-Level Thinking: Ability to write or review embedded software (C/C++, STM32) to facilitate deep-level debugging and hardware-software co-design.
Regulatory Mentorship: Experience guiding products through global certifications (UL, CE, RED), beyond basic compliance.
We offer:
The opportunity to suggest and implement your own ideas that directly influence the product and its mass production;
A place in a fast-growing company with a motivated and professional team;
Competitive salary;
Medical insurance;
Corporate English classes;
The opportunity to participate in Ajax’s internal beta-testing program for security systems;
Discounts from partner companies;
Discounts on Ajax products.
Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.
Location: Intellias
Meet your recruiter
Yuliia Serednia
yuliia.serednia@intellias.com
https://www.linkedin.com...
Vacancy details
ITSM
Support Engineer
Senior
Ukraine
Remote
APPLY NOW
REFER A FRIEND
Let’s connect people globally! With a first-class team of engineers, Intellias provides and supports top-level services in the telecom sector all over the world. Join in and be among those who create the future of communications! We welcome motivated individuals eager to grow their skills in enterprise-grade telecom support operations.
What project we have for you
Our client, a leading software and services provider for communications and media companies, is establishing the Support and Maintenance team for newly launched project in Ukraine, so looking for strong and motivated support personnel with experience in operating high-performing, scalable, enterprise-grade applications and frameworks (On-prem OpenShift, Kubernetes, HBase, Kafka). You will be part of a talented software engineering team that is servicing the next generation of our product using micro services technology stack.
Take responsibility on operations and support of Production BSS (Telecom Billing, rating, ordering, PCRF, network provisioning, IVR, Product catalog and API) IT project in ensuring the Maintenance and services operations SLA. Ensure solution meets customer business and technical needs by leveraging out clients IT assets and best practices while considering IT strategic goals.
What you will do
In one sentence:
Responsible to monitor perform ticket analysis, service interruption analysis, timely resolution or the incidents, failures and to minimize business impact by providing and developing work arounds.
Responsibilities:
Troubleshoot and resolve application issues, implementing work arounds and proactive measures to prevent future occurrences.
Participate in on-call rotations and provide timely incident response and resolution.
Perform ticket analysis, service interruption analysis.
Ensure timely resolution or escalation within the agreed SLA. This includes creating a positive customer support experience and building strong relationships through understanding the problem, communicating promptly on progress, and handling customers with a professional attitude.
Analyze and fix order fallouts from various applications, journalize manual billing requests, process payments, and customize miscellaneous activities
What you need for this
Critical Experience:
Business Support System (BSS) experience is a must (billing, telecom billing, CRM, telecom CRM, ordering, logical inventory, product catalog – some of these modules experience is needed, and understanding how they are linked together)
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Proficiency in scripting languages such as Shell, Python or Bash.
Familiarity with containerization tools like Docker and container orchestration tools like Kubernetes.
Must have experience of working with microservices.
Experience with monitoring and logging tools (e.g., Prometheus, ELK stack, Grafana).
Proficiency in Core Java and Java scripting.
Practical experience with NoSQL databases, such as Couchbase and HBase.
Hands-on expertise in PostgreSQL.
Proficiency in English communication, both written and verbal.
Familiarity with Business Support System (BSS).
Requirements:
6+ years of experience
Willing to work in shifts and weekend support model.
Strong problem-solving skills and the ability to work effectively in fast-paced environments.
Must have the ability to see the full End to End picture, including impact on the customer.
Ability to lead technical issues independently and sharing guidance to other team members
Will be a plus:
Familiarity with Fuse, Camel, and Spring Boot is a plus.
Knowledge of REACT and Redux is considered an added advantage.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
BSS
Docker/Kubernetes
Grafana
Linux
PostgreSQL
Prometheus
REST
Location: Athens
Workplace: Hybrid
- Mission Delivery Engineer Greece
- Department: Missions Line of Business
- Location: ICEYE Athens, Greece
- Reports to: Mission Delivery Engineer Team Lead
- Employment type: Permanent
- Working type: Hybrid (3 days / week in office)
- Employment is subject to applicable security screening
Why This Role Matters
As a Mission Delivery Engineer you will support the delivery of complex Satellite Mission programs end-to-end with deep technical ownership, ensuring customer success, on-time execution, and scalable delivery excellence.
You will work across the Portfolio focusing on the technical thread of customer missions—from requirements capture through system acceptance and delivery—acting as the technical authority/interface between the customer and ICEYE's engineering, product, and operations teams. Your role bridges program governance and system engineering: ensuring mission requirements are understood, flowed down, tracked, and validated, while maintaining configuration control and driving cross-functional technical alignment throughout the program lifecycle.
This role directly contributes to ICEYE's ambition to become the leading provider of space-based ISR infrastructure by scaling reliable, high-impact mission delivery globally.
The role will be based in Athens at the ICEYE facility. Travel to customer sites is required.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Expected Outcomes & Requirements
Outcomes
• Customer technical requirements are accurately captured, baselined, and flowed down to engineering teams, ensuring all mission commitments are fully traceable from contract to delivery.
• Customers experience a consistent, high-trust technical partnership, with a single accountable interface that understands their systems and operational needs throughout the program lifecycle.
• System integration, verification, and validation activities are planned and executed rigorously, ensuring all delivered capabilities are compliant with mission and contractual requirements.
• Configuration and interface control is maintained across all mission segments—satellite, ground, networks, and user interfaces—minimising risk from upgrades, changes, and inter-system dependencies.
• Technical risks, discrepancies, and gaps are identified early, escalated effectively and resolved proactively through structured coordination across software, hardware, operations, and QA teams.
• Cross-functional technical teams operate in alignment, with clear ownership and system-level perspective maintained across all reviews, delivery milestones, and readiness checks.
• Technical documentation—including CONOPS, ICDs, verification matrices, mission analysis, and acceptance reports—is delivered on time and kept current with the actual system implementation.
Role-Specific Competencies
• 5+ years' experience delivering complex, multi-stakeholder technical programs in advanced technology environments (e.g. space, defence, telecom, automotive, IT)
• Proven ability to own the technical customer interface, managing senior stakeholders and translating operational requirements into engineering deliverables
• Hands-on experience with requirements management, traceability, and configuration control across hardware, software, and system-level domains
• Demonstrated involvement in system integration, verification and validation (V&V) planning and execution, including acceptance testing campaigns
• Strong cross-functional technical coordination skills across engineering, product, and operations disciplines
• Experience of carrying out analysis and mission design using software packages such as STK, SaVoir, MONTE or GMAT
• Excellent communication skills across technical and non-technical audiences, including formal reviews (SRR, PDR, CDR, DRR)
• Degree in engineering, systems engineering, computer science, or a related technical field
• Must have or be able to obtain required security clearances
Nice-to-have
• Experience in Earth Observation (EO), SAR, or remote sensing
• Background in space mission systems or satellite ground segment development
• Experience working with government or defence customers on classified or sovereign programs
• Knowledge of hardware/software integration, API control, and embedded systems
• Familiarity with ESA or equivalent program documentation frameworks
• Advanced degree (Master's) or relevant certifications (e.g. PMP, PgMP, INCOSE CSEP)
Application Process
• Initial screening call with Talent Attraction
• Hiring Manager interview
• Take home assignment & panel presentation
• Final interview with VP Missions
• References
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at http://iceye.com/iceye.com http://iceye.com.
Location: Москва
Мы ищем талантливого специалиста, который сможет присоединиться к разработке и внедрению AI-агентов для взаимодействия с клиентами по вопросам продукта эквайринга Сбера. Агент должен поддерживать живой диалог, обладать знаниями о продукте и оказывать качественную консультацию клиентам. Вы будете частью команды, работающей над проектами по созданию и обучению AI-агентов.
Обязанности
* разработка AI-агента для консультирования клиентов по продукту эквайринга
* написание кода на Python для реализации функциональности агента
* работа с LLM-моделями: промптинг, настройка и оптимизация
* разработка RAG-подходов для поиска и предоставления релевантной информации
* создание ML-решений классическими подходами
* тестирование и улучшение качества диалоговых сценариев агента.
Требования
* опыт разработки на Python от 3 лет
* опыт работы с LLM-моделями: промптинг, RAG-подходы
* опыт разработки ML-решений классическими подходами
* понимание архитектуры диалоговых систем и AI-агентов
* навыки математического моделирования и статистики.
Будет плюсом:
* опыт в банковской сфере или знание продуктов эквайринга
* опыт работы с BI-системами (Power BI, Qlik Sense, Tableau).
Условия
* комфортный современный офис рядом с м. Кутузовская
* гибридный график работы
* ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования)
* 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
* вознаграждение за рекомендацию друзей в команду Сбера.
Москва
Aberdeen, United Kingdom; We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридseniorBangalore; You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve