Senior ML Ops Engineer
14 hours ago
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.
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Administer and optimize Databricks Mosaic AI platform and its AI agent ecosystem.
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Develop and manage MLflow lifecycle management, multi-agent orchestration, and agentic AI pipelines.
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Implement infrastructure automation using Kubernetes, Docker, and Terraform.
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Ensure observability using tools like Prometheus and Grafana.
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Develop and maintain CI/CD pipelines for ML models, data flows, and AI agents.
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Collaborate with Data Engineering and Platform teams to ensure compliance, security, and reliability.
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Proven experience as MLOps Engineer or Platform Engineer (5+ years).
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Deep expertise with Databricks Mosaic AI, MLflow, and agentic AI orchestration.
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Advanced proficiency with Kubernetes, Docker, and Terraform.
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Experience building and maintaining CI/CD pipelines for ML systems.
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Strong knowledge of observability tools, monitoring, and AI governance principles.
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Solid understanding of data privacy, security, and responsible AI.
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Experience with LangChain, LlamaIndex, or multi-agent orchestration frameworks.
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Familiarity with Azure Databricks or AWS Sagemaker environments.
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