SENIOR MLOPS / CLOUD PLATFORM ENGINEER
We are looking for a Senior MLOps and Cloud Platform Engineer to support the deployment and operationalisation of enterprise AI solutions. Full remote, Eastern Europe location preferred for time zone alignment. What You'll Be Doing Setting up and managing MLOps pipelines for AI/GenAI model deployment Managing cloud infrastructure on Azure ML, AWS or Databricks Maintaining CI/CD pipelines and containerised environments Supporting platform engineering for scalable, production-ready AI systems Handling enterprise data integration and cloud connectivity Required Skills Strong MLOps experience (model deployment, monitoring, versioning) Azure ML, Databricks or AWS (hands-on, not just theoretical) Docker and Kubernetes (production experience) CI/CD pipeline setup and maintenance Enterprise cloud and data integration Python familiarity Fluent English
Nice to Have
Experience supporting LLM or GenAI workloads in production Familiarity with secure cloud architecture and access control patterns Details Location: Remote (Eastern Europe) Time zone: CET/CEST overlap required Start: Immediate