MLOps

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)