Principal Machine Learning Engineer

The AI/ML Lead will head Amgen’s AI/ML practice within the Innovation Lab, driving the development, validation, and deployment of machine learning and GenAI solutions across R&D, Manufacturing, and Commercial domains.

This role requires strong technical depth, leadership skills, and a deep understanding of responsible AI frameworks within regulated environments.
 

Key Responsibilities

• Lead AI/ML strategy and implementation across multiple PoDs in the Innovation Lab.
• Translate Amgen’s business objectives into data-driven AI/ML initiatives.
• Define architecture, standards, and best practices for model design, training, and validation.
• Oversee MLOps and CI/CD integration to enable scalable model deployment.
• Guide the team on data preparation, feature engineering, and experimentation.
• Review and approve model validation reports, metrics, and explainability artifacts.
• Ensure compliance with Responsible AI, GxP, and privacy frameworks.
• Collaborate with SMEs and Data Governance leads to align models with business and ethical objectives.
• Mentor engineers, fostering innovation and technical excellence.

Required Qualifications

• 10–15 years of experience in data science or machine learning engineering.
• Proven leadership in AI/ML project delivery and technical governance.
• Expertise in Python, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
• Experience with MLOps, MLflow, Databricks, and AWS SageMaker.
• Strong grounding in model lifecycle management and validation documentation.
• Excellent analytical, communication, and cross-functional collaboration skills.

Preferred Skills

• Experience with GenAI / LLM architectures (LangChain, OpenAI APIs, Hugging Face).
• Prior exposure to pharma, biotech, or life sciences R&D.
• Certification in Machine Learning / Data Science / AWS AI Specialist.
• Familiarity with data privacy regulations (HIPAA, GDPR) and ethical AI standards.