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