Senior Associate, Machine Learning Engineer

Overview

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

About The Role

Role Description:

As an AI/ML Engineer within Amgen’s AI/ML Innovation Lab, you will design, build, and operationalize machine learning models that power innovation across Amgen’s scientific and operational domains.

This position has to collaborate closely with internal SMEs, data engineers,

and vendor’s technical teams to deliver scalable, compliant AI solutions aligned with Amgen’s R&D, Manufacturing, IT, and Commercial objectives.

Key Responsibilities

• Develop, train, and validate AI/ML and GenAI models for research, operations, and commercial applications.
• Partner with data engineers to build and optimize data pipelines for model ingestion.
• Work on model explainability, validation, and auditability aligned to Amgen’s governance standards.
• Contribute to PoC design, experimentation, and evaluation phases in the Innovation Lab.
• Collaborate with vendor team to integrate models into apps and dashboards.
• Ensure adherence to data privacy, GxP, and Responsible AI guidelines.
• Document model development, versioning, and performance metrics for governance reviews.
  
  

• 3–5 years of experience in Data Science / Machine Learning engineering.
• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or similar
• Experience in AWS ML services (SageMaker, Lambda, S3, Glue, Redshift).
• Solid grasp of MLOps practices — model tracking, CI/CD, deployment automation.
• Strong statistical and analytical background.
• Excellent collaboration and communication skills.
  
  

• Exposure to GenAI / LLM frameworks (LangChain, OpenAI APIs, Hugging Face).
• Experience in regulated data environments (pharma / life sciences).
• Familiarity with MLflow, Databricks, Airflow for experimentation and orchestration.
• Knowledge of data governance and model validation frameworks.
  
  

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.