Opportunity Overview
As the 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.
This team is 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. This is an opportunity to shape both the technical direction and team culture within a growing global organization.
What you’ll do:
- 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
What you’ll need:
Must-haves
- Minimum 8+ years of experience in machine learning, data science, or applied AI roles, of those a minimum 2+ years of experience must be 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
Nice-to-haves
- Experience in healthcare, particularly with payer, provider, or clinical data
- Experience with NLP, deep learning (e.g., transformers), or generative AI (e.g., RAG)
- Familiarity with MLOps practices and production ML systems
- Experience with Spark or large-scale data processing frameworks
- Exposure to cloud platforms (e.g., AWS, SageMaker)
- Experience working in a global or distributed team environment
- Prior experience in a GCC or building teams in India
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
