• Lead and oversee ML projects from planning to delivery, ensuring timely and budget-friendly completion. Conduct performance reviews, provide feedback, and support professional growth of your team members. • Manage a team and also contribute towards operationalizing machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. • Oversee the design and implementation of APIs for seamless integration with AI models and services. • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. • Participate in code reviews, testing, and quality assurance processes. • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. • Document and communicate development processes, system designs, and architectural decisions. • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. • All employees are responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.