Senior Director, Machine Learning & AI (BPD)
US - Gaithersburg - MD, United States
R
USD 203K-304K (estimate) Senior-level Full Time
Tasks
- Advise stakeholders on AI feasibility and tradeoffs
- Align investment and delivery plans with data and automation
- Build knowledge management capabilities
- Build physical AI capabilities connecting models to lab automation
- Conduct bias and robustness testing
- Create operating model and delivery discipline
- Define ML and AI strategy
- Develop AI foundations and platforms
- Develop modeling and digital twins
- Drive AI adoption and training culture change
- Enable submission and report authoring
- Ensure data architecture governance and engineering readiness
- Ensure responsible AI practice
- Evaluate external partnerships and vendors
- Implement human in the loop for GxP adjacent use cases
- Integrate AI capabilities into platforms and workflows
- Lead ML and AI team
- Lead reproducibility and model risk management
- Manage model documentation and validation evidence
- Own AI portfolio delivery
- Provide model evaluation and deployment oversight
- Represent organization in publications and standards forums
- Serve as technical voice to enterprise AI
- Set MLOps and evaluation standards
- Support regulatory advocacy for AI in CMC
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Systems | Azure | Bias Testing | Cloud Computing | Containerization | Data Architecture | Data Governance | Data product | Data product thinking | Deep learning | Digital Twins | Distributed Computing | FAIR-Data | Foundation Models | GxP | Human-in-the-loop | Information security | Knowledge graphs | Language Processing | MLOps | Machine Learning | Model Evaluation | Model Risk Management | Model risk | Natural Language | Natural Language Processing | Ontology | Product Thinking | Python | Retrieval-Augmented Generation | Risk Management | Robustness Testing | The Loop
Education
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