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