Mlops Engineer

Danaher UK

Bangalore, India
Devops principles to ml lifecycle
Design, build, maintain infrastructure
Automated pipelines for ml models
At Danaher, our work saves lives and each of us plays a part, fueling innovation at the speed of life

Job Summary

  • At Danaher, our work saves lives and each of us plays a part, fueling innovation at the speed of life.
  • As an MLOps Engineer, you will design, build, and maintain infrastructure and automated pipelines for machine learning models and bioinformatics workflows.
  • You will collaborate with data scientists and IT teams to ensure models are production-ready, deploy models into production, and manage their lifecycle.

Matching Summary

At Danaher, our work saves lives and each of us plays a part, fueling innovation at the speed of life.

Skills & Requirements

Must-have

  • DevOps principles to ML lifecycle
  • Design, build, maintain infrastructure
  • Automated pipelines for ML models
  • Manage Azure environment
  • Scalable infrastructure for ML workloads
  • Containerization (Docker), orchestration (Kubernetes)
  • CI/CD pipelines for ML models
  • Monitoring and observability framework for models

Nice-to-have

  • Continuous improvement culture
  • Belonging and unique viewpoint
  • Accelerate potential and make a difference
  • GenAI/LLM operations
  • Vector databases and model serving

Key Requirements

  • 8+ years in DevOps and MLOps
  • Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field
  • Proven experience deploying and managing ML models
  • Proficiency in Python
  • Strong experience with AWS, GCP, or Azure
  • Hands-on experience with Docker and Kubernetes
  • Experience with CI/CD tools
  • Familiarity with ML lifecycle management tools

Work Rights

Not specified

Tailored Resume

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