Sr ML Ops Engineer – Data Science Enablement

Career Category Operations 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 Serve as the internal MLOps and technical enablement partner for data science teams across TA Delivery, Measurement, and Investment Analytics. Design, build, and maintain reusable components to support modeling, experimentation, and insight delivery at scale. Implement and maintain ML pipelines in Databricks, including model registration, versioning, and production deployment via MLflow. Support advanced DS use cases such as RAG pipelines, vector DB integrations, and document-based inference with well-documented, secure code. Build lightweight, user-friendly interfaces (e.g., Streamlit) for visualization or prototype delivery across analytic teams. Collaborate with Amgen’s enterprise engineering, architecture, and cloud ops teams to follow best practices in AWS, S3, and scalable compute. Maintain clear documentation, version control, code reuse templates, and testing workflows to support robust and reusable deployment patterns. Monitor deployed models for performance drift and retraining needs; establish visibility around pipeline health and telemetry. Advise on connector usage, integration patterns, and technology decisions across CD&A analytics teams. 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, Software Engineering, Data Engineering, or related field. 7–14 years of experience in MLOps, data engineering, or ML/AI product development. Hands-on expertise in Databricks, MLflow, Python, SQL, and AWS (esp. S3, Lambda, EC2). Experience deploying and monitoring ML models in production. Understanding of DS workflows and comfort collaborating closely with modeling teams.

Preferred Qualifications

Strong software engineering foundation: clean code, CI/CD, Git, containerization. Familiarity with RAG, vector databases, embedding pipelines, and LangChain-like frameworks. Experience with low-code interface tools like Streamlit or Dash. Ability to coach analysts and DS teams on technical patterns, integrations, and deployment best practices. Strong documentation habits and interest in scaling DS enablement as a capability. . Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen Apply tot his job Apply To this Job