Vacancy 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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