GOAL :
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Design and implement end-to-end ML operations infrastructure, including agent deployment.

REQUIREMENTS :

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- 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, xqbhyrx agents, and data pipelines

LANGUAGE :
WE OFFER:

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- Full-time Freelance contract

- Rate: €240/€280 per day + VAT (according to the experience provided)

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