GOAL
La experiencia que se espera de los solicitantes, así como las habilidades y cualificaciones adicionales necesarias para este trabajo, se enumeran a continuación.
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 xugodme for ML models, agents, and data pipelines
LANGUAGE : WE OFFER:
- Full-time Freelance contract
- Rate: €240/€280 per day + VAT (according to the experience provided)
📌 Mlops (España)
🏢 Aderen
📍 España