Found Description
SEEKING: MLOps
We are looking for an experienced professional as MLOps.
Goal
Design and implement end-to-end ML operations infrastructure, including agent deployment.
Requirements
- Expert-level Databricks Mosaic AI platform administration
- 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)
- Infrastructure as Code (Terraform, ARM templates)
- CI/CD pipelines for ML models, agents, and data pipelines
Language
- English- (C1/C2)