Senior DevOps ML Engineer
# Senior DevOps ML Engineer **Madiff** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[DevOps-Engineer]` `[MLOps-Engineer]` `[Machine-Learning-Engineer]` `[Data-Engineer]` `[Cloud-Engineer]` `[Senior-DevOps-Engineer-AI-ML]` `[Senior-AI-ML-Operations-Engineer]` `[Senior-ML-Platform-Engineer]` `[Senior-MLOps-Engineer]` --- ### About the Role This is a remote position. We are looking for a Senior DevOps ML Engineer to support a long-term enterprise AI platform focused on production-grade ML workloads. This role is fully centred on MLOps and DevOps infrastructure — ensuring that existing AI and ML models run reliably, securely, and at scale in production. The position operates in a regulated environment and requires strong focus on automation, governance, and operational excellence. Responsibilities - Design, build, and maintainMLOpsand DevOps infrastructure on Azure - Develop andoptimiseML pipelines for deployment, monitoring, and governance - Work with Azure Databricks,MLflow, and Unity Catalog - Implement CI/CD pipelines and automatedModelOpsworkflows - Ensure data architecture supports governance, lineage, and schema evolution - Apply Infrastructure as Code using Terraform - Collaborate closely with AI engineers and data teams to support production ML systems - Monitor and ensure platform stability, performance, security, and compliance - Support operational readiness of ML workloads in regulated environments Requirements - Stronghands-onexperiencewithAzureDatabricks,includingMLflowand UnityCatalog - Proven background in DevOps orMLOpsfor AI / ML platforms - Solid experience with Azure Cloud services - Hands-on CI/CD and pipeline automation experience - Infrastructure as Codeexpertiseusing Terraform - Strong understanding of data governance, access control, and compliance principles - Confident English for daily cooperation with international stakeholders Nice to have - Pythondevelopmentorscriptingexperience - Docker and Kubernetes knowledge - Exposure to Generative AI or broader ML workflows - Experience working in insurance or other regulated environments Benefits - Solid, competitive salary - Work in multinational environment on international projects - Comprehensive healthcare - Long-term B2B contract with stable project pipeline - Fully remote model Originally posted on Himalayas
- DevOps-Engineer
- MLOps-Engineer
- Machine-Learning-Engineer
- Data-Engineer
- Cloud-Engineer
- Senior-DevOps-Engineer-AI-ML
- Senior-AI-ML-Operations-Engineer
- Senior-ML-Platform-Engineer
- Senior-MLOps-Engineer
Наблюдалась 2026-10-16, впервые 2026-10-15, источник — Himalayas (JSON API).