Manager, Machine Learning & Data Science

You will play a key role in building and scaling Cohere Health's AI capabilities in India. You'll lead a team of machine learning engineers and data scientists focused on developing and deploying models that automate and augment complex clinical and administrative workflows. You'll be responsible for the full lifecycle of applied machine learning and data science, from problem framing and experimentation to production model deployment and ongoing optimization. You'll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making. As a player-coach, you'll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. You'll have the opportunity to shape both the technical direction and team culture within a growing global organization.

Responsibilities

• Lead, mentor, and develop a team of machine learning engineers and data scientists, fostering a collaborative, high-performance environment
• Act as a hands-on contributor across the ML/DS lifecycle, including data exploration, feature engineering, model development, evaluation, and deployment
• Design, develop, and deploy machine learning models for retrieval, classification, and generative use cases across structured and unstructured data
• Translate complex business and clinical problems into scalable machine learning and data science solutions
• Establish and uphold best practices for experimentation, model validation, performance tracking, and reproducibility
• Partner cross-functionally with Product, Engineering, Clinical, and Analytics teams to align solutions with business priorities
• Guide the development of scalable data science and machine learning systems, including data preprocessing pipelines and production workflows
• Monitor model performance, identify opportunities for improvement, and drive continuous iteration and optimization
• Communicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders
• Contribute to hiring and scaling the team in India, including recruiting, onboarding, and coaching team members

Requirements

• Minimum 8+ years of experience in machine learning, data science, or applied AI roles
• Minimum 2+ years of experience leading technical teams
• Strong hands-on experience building, evaluating, and deploying machine learning models in production
• Solid foundation in statistical methods, experimental design, and model evaluation
• Proficiency in Python and experience with ML frameworks (e.g., PyTorch, scikit-learn)
• Experience working with large, complex datasets (structured and/or unstructured)
• Strong problem-solving skills with the ability to translate business challenges into analytical solutions
• Excellent communication skills, with the ability to present complex concepts clearly to diverse stakeholders
• Experience working in fast-paced, evolving environments
• Experience in healthcare, particularly with payer, provider, or clinical data (nice-to-have)
• Experience with NLP, deep learning (e.g., transformers), or generative AI (e.g., RAG) (nice-to-have)
• Familiarity with MLOps practices and production ML systems (nice-to-have)
• Experience with Spark or large-scale data processing frameworks (nice-to-have)
• Exposure to cloud platforms (e.g., AWS, SageMaker) (nice-to-have)
• Experience working in a global or distributed team environment (nice-to-have)
• Prior experience in a GCC or building teams in India (nice-to-have)