JetBrains30.01.2026
Senior MLOps Engineer (ML Workflows Engineering)
Зарплата не указана
РЫНОК
16 250 ₽медиана по профессии
Data Scientist · 212 вакансий с указанной зарплатой
5 000половина предложений: 13 084–21 768120 000
Работодатель не указал зарплату — сравните с рынком сами.
Amsterdam
Обязанности
- 01Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges
- 02Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production
- 03Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents
- 04Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models
- 05Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems
- 06Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation
Требования
- 01Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks
- 02A solid understanding of the ML lifecycle from idea to the customer-facing application
- 03The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases
- 04A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions
- 05Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity
- 06At least three years of Python experience writing clean, maintainable code in modern ML codebases
Условия
- 01#LI-HYBRID