Job 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

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