Hybrid Senior Manager/Director, ML Engineering

at Welldoc

• Job title: Senior Manager/Director, ML Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: $150,000 - $200,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Azure, Jenkins, Python
• Location requirements: Hybrid, Columbia, United States

About the role

• Leading a team of ML Engineers to design and deploy AI-driven solutions at Welldoc. Overseeing critical ML projects while collaborating with international teams.

Responsibilities

• 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