CDNA_ML Engineer Data Science Enablement

3 - 5 years

5 - 7 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Career Category Engineering Job Description
HOW MIGHT YOU DEFY IMAGINATION
If you feel like you re part of something bigger, it s because you are. At Amgen, our shared mission to serve patients drives all that we do. It is key to our becoming one of the world s leading biotechnology companies. We are global collaborators who achieve together researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It s time for a career you can be proud of.
Live | 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.
Thrive | What you can expect
As we work to develop treatments that take care of others, we also work to care for our teammates professional and personal growth and well-being.
Basic Qualifications
  • Bachelor s or Master s 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.
Passion for enabling data science teams and driving engineering quality.
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Amgen Inc logo
Amgen Inc

Biotechnology

Thousand Oaks

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