Cdna Ml Engineer – Data Science Enablement

2 weeks ago

Hyderabad, Telangana, India Amgen Full time

Career Category Engineering 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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