CDNA - ML Engineer - Data Science Enablement

5 days ago

Hyderabad, Telangana, India Amgen Inc Full time ₹ 1,20,000 - ₹ 1,80,000 per year

What you will do

  • Build, test, and maintain reusable components for ML pipelines and data science use cases in collaboration with senior engineers and data scientists.
  • Develop model tracking, versioning, and deployment workflows using MLflow and Databricks .
  • Support data scientists across teams with infrastructure needs, connector usage, and dataset preparation.
  • Help prototype and deploy internal tools (e.g., Streamlit apps) to visualize model results or enable user interactions.
  • Follow engineering best practices around version control, documentation, and testing in shared repositories.
  • Collaborate with enterprise engineering and data platform teams to ensure compliance with cloud architecture, data privacy, and governance standards.

Basic Qualifications

  • Bachelors or Masters in Computer Science, Data Engineering, or related technical field.
  • 3-5 years of experience in ML engineering, data engineering, or DevOps supporting ML pipelines.
  • Proficiency in Python and SQL, with working knowledge of Databricks , MLflow , and AWS (S3, EC2, Lambda) .
  • Experience supporting model deployment, monitoring, and packaging workflows.
  • Ability to document work clearly and collaborate effectively with cross-functional teams.

Preferred Qualifications

  • Familiarity with vector stores, embedding pipelines, or RAG-style use cases.
  • Experience developing or supporting Streamlit or Dash-based apps for data products.
  • Working knowledge of Git-based workflows, containerization, and CI/CD pipelines.

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