GOAL :
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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 xqbhyrx 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)
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📌 MLOps (Madrid)
🏢 Aderen
📍 Madrid