Lead, mentor, and manage a team of ML Engineers, including the distributed team in Bangalore, India
Act as the primary technical bridge to the Bangalore ML team, fostering a unified engineering culture
Define and implement the complete MLOps lifecycle and data value chain using industry best-in-class solutions
Architect and oversee the development of CI/CD pipelines for AI/ML projects
Work with Data Science, Product Development, Clinical Science, and Software Engineering teams to establish priorities
Collaborate with Software Engineering to design and build scalable ML systems
Drive the production deployment, monitoring, scaling, and maintenance of AI models
Provide technical leadership through code reviews and management of best coding practices
Create and maintain data governance SOPs and work instructions
Requirements
5-10 years of experience with relational databases
5-10 years of hands-on experience building, deploying, and maintaining production-grade classical and deep learning ML models using Python
Proven experience with deploying Generative AI models, including LLM and RAG applications, in a production environment
5-10 years of experience with industry data and ML platforms (Azure, Databricks, Amazon, Google)
5-10 years of experience designing, building, and maintaining CI/CD pipelines using tools like Jenkins, GIT, etc.
Proven experience leading and managing a team of ML engineers, delivering complex ML projects from concept to production
Strong, hands-on understanding of MLOps principles, tools, and best practices (e.g., model versioning, monitoring, feature stores, automated retraining)
5-10 years of digital health or population healthcare analytics industry experience preferred
5-10 years of experience leading cross-functional initiatives and communicating effectively with business partners and senior management
Experience managing or collaborating closely with distributed/offshore development teams preferred
Willingness and ability to travel internationally (to India) 4-5 times per year
Experience working in regulated and compliant environments (e.g., ISO 13485, HITRUST, SOC 2) preferred.
Benefits
generous PTO
medical insurance
dental insurance
vision care
life and disability insurance
retirement benefits
opportunity to participate in health savings accounts and/or dependent care accounts
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