GOAL :
Obtenga más información sobre este puesto leyendo los detalles a continuación y luego envíe su solicitud para ser considerado.
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 xhfqzwm ML models, agents, and data pipelines
LANGUAGE :
WE OFFER:
Full-time Freelance contract
Rate: €240/€280 per day + VAT (according to the experience provided)
#J-18808-Ljbffr
📌 Mlops (Madrid)
🏢 Aderen
📍 Madrid