Manager, Machine Learning & Data Science

Opportunity Overview

As the Manager Machine Learning & Data Science you will play a key role in building and scaling Cohere Healths AI capabilities in India. Youll 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 sciencefrom problem framing and experimentation to production model deployment and ongoing optimization. Youll 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 youll 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 youll 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

Required Qualifications:

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*:

1. Connect with Talent Acquisition
2. Meet with the Hiring Manager
3. Behavioral Interview(s)
4. Case Study
5. Interview with Senior Leadership

*Subject to change

About Cohere Health:

Cohere Healths clinical intelligence platform and agentic AI-powered solutions connect health plans strategic goals and providers needs optimizing the speed cost and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuumincluding policy prior authorization payment accuracy and morethe company improves collaboration and reduces burden resulting in up to 8x ROI and 94% provider satisfaction.

With the acquisition of ZignaAI we expanded our AI-native platform with a comprehensive Payment Integrity Suite that spans data mining clinical and coding validation authorization and claims reconciliation and end-to-end payment integrity services across pre- and post-pay workflows. By connecting clinical and payment insights our transparent AI-powered solutions help health plans proactively improve payment accuracy reduce waste and vendor dependency strengthen provider relationships and build smarter more efficient payment integrity programs.

Cohere Healths innovations continue to receive industry-wide recognition. Weve been recognized on TIMEs World Top HealthTech Companies 2025 list the 2025 Inc. 5000 list in the Gartner Hype Cycle for U.S. Healthcare Payers (2022-2025) and ranked as a Top 5 LinkedIn Startup for 2023 & 2024.

We cant 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 its personal.

ISMS roles and responsibilities:

• Good knowledge of Information security
• Oversee specific business processes within the ISMS.
• Responsible to manage the ISMS documentation conduct risk assessments and implement risk treatment plans.
• Risk Owners are responsible for identifying assessing and managing risks within their areas of responsibility.
• They are also responsible for implementing risk treatment plans.
• Conduct the BCP and other test related to information security continuity along with CISO
• Responsible for monitoring and reporting on the performance of the ISMS.
• Responsible for implementation of security policies and procedures and report any issues to the CISO.