CDNA_ML Engineer – Data Science Enablement
- Hyderabad, Telangana
- Permanent
- Full-time
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.
- 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.
- 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.