Vacancy Description
We are looking for an experienced professional as MLOps.
Goal
Design and implement end-to-end ML operations infrastructure, including agent deployment.
Requirements
- Agentic AI deployment pipelines and agent lifecycle management
- MLflow for model and agent lifecycle tracking
- Agent monitoring, logging, and performance tracking
- Kubernetes orchestration for inference runtime environments
- Databricks Jobs, Workflows, and agent scheduling
- Multi-agent system orchestration and resource management
- Docker containerization and registry management
- Monitoring and observability tools (Prometheus, Grafana)
- CI/CD pipelines for ML models, agents, and data pipelines
We Offer
- Full‑time Freelance contract
- Rate: €240/€280 per day + VAT (according to the experience provided)