Senior ML Ops Engineer

7 days ago


Bucharest, Bucureşti, Romania Shape Your Future with Us Full time €60,000 - €120,000 per year
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.

Required Skills & Experience:
  • 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.

Nice to Have:
  • Experience with LangChain, LlamaIndex, or multi-agent orchestration frameworks.

  • Familiarity with Azure Databricks or AWS Sagemaker environments.



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