Manager, Machine Learning & Data Science
Core
Lead a team of ML engineers and data scientists to build and deploy AI models that automate clinical and administrative workflows, specifically for prior authorization and clinical decision-making.
Role type
Manager, Machine Learning & Data Science (player-coach)
Builds
Production ML models for retrieval, classification, and generative use cases; scalable data science and ML systems including data preprocessing pipelines.
Domain
Healthcare / HealthTech / Payer-Provider workflows
Deliverable
production ML models
Required skills
Team leadership and mentorship, hands-on ML model development and deployment, statistical methods and experimental design, Python, ML frameworks (PyTorch, scikit-learn), handling large structured/unstructured datasets, translating business problems to analytical solutions.
Preferred skills
Healthcare domain knowledge (payer/provider/clinical data), NLP, deep learning (transformers), generative AI (RAG), MLOps, Spark, cloud platforms (AWS, SageMaker), global/distributed team experience, GCC/India team building.
Technologies
Python, PyTorch, scikit-learn, Spark, AWS, SageMaker
Responsibilities
Lead and mentor a team of ML engineers and data scientists; Act as a hands-on contributor in the ML/DS lifecycle (data exploration, feature engineering, model development, evaluation, deployment); Design and deploy ML models for retrieval, classification, and generative use cases; Translate complex business and clinical problems into scalable ML solutions; Establish best practices for experimentation, model validation, and reproducibility; Partner cross-functionally with Product, Engineering, Clinical, and Analytics teams; Guide development of scalable data science systems; Monitor model performance and drive optimization; Contribute to hiring and scaling the team in India.
Seniority
Manager, 8+ years experience (2+ years leading technical teams)
