Senior ML Ops Engineer
3 days ago
Job Description:
Location: Remote (EU)
Contract details: 12 months/freelance/SRL or PFA
Overview:As a Senior MLOps Engineer, you will design, build, and optimize end-to-end machine learning operations infrastructure, enabling scalable agent deployment and lifecycle management across Databricks Mosaic AI.
Key Responsibilities:Architect and maintain ML operations pipelines for model training, deployment, and monitoring.
Administer and optimize Databricks Mosaic AI platform and its AI agent ecosystem.
Develop and manage MLflow lifecycle management, multi-agent orchestration, and agentic AI pipelines.
Implement infrastructure automation using Kubernetes, Docker, and Terraform.
Ensure observability using tools like Prometheus and Grafana.
Develop and maintain CI/CD pipelines for ML models, data flows, and AI agents.
Collaborate with Data Engineering and Platform teams to ensure compliance, security, and reliability.
Proven experience as MLOps Engineer or Platform Engineer (5+ years).
Deep expertise with Databricks Mosaic AI, MLflow, and agentic AI orchestration.
Advanced proficiency with Kubernetes, Docker, and Terraform.
Experience building and maintaining CI/CD pipelines for ML systems.
Strong knowledge of observability tools, monitoring, and AI governance principles.
Solid understanding of data privacy, security, and responsible AI.
Experience with LangChain, LlamaIndex, or multi-agent orchestration frameworks.
Familiarity with Azure Databricks or AWS Sagemaker environments.
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