PD Senior Engineer – Model Lifecycle, Sustainability and MLOps, Pharmaceutical Product Development

About the role

We are seeking a technically strong and experienced Senior Engineer who will drive model lifecycle sustainability efforts to ensure that the performance of machine learning, statistical, and other data-driven models within PD is reproducible, observable, governed, and valuable long after initial deployment.

What you'll do

• Model onboarding and operationalization: Deployment and operationalization of advanced machine learning, statistical, and data-driven models within PD’s Model Hub
• End-to-end model lifecycle workflow: Develop and implement robust model lifecycle workflows including validation, deployment, monitoring, retraining, versioning
• Model sustainability standards: Design scalable approaches for model discoverability, reproducibility, and governance
• Model discoverability and reuse leveraging PD’s Model Hub through lineage, and metadata capture mechanisms that work across programs and modalities
• You work effectively in ambiguous environments, proactively identifying challenges & opportunities and independently develop solutions while engaging stakeholders as…

What you need

• 4–7 yrs of experience
• MLOps
• Machine learning
• CI/CD
• Test automation
• AWS
• Root cause analysis
• B.Tech or B.E. or B.Sc or BCA

Good to have

• LLMs
• Git
• Databricks
• Docker
• Kubernetes
• Azure