Description
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.
