Technical Engagement Manager – AI/ML (HealthCare)

About the job

Role: Technical Engagement Manager – AI/ML (HealthCare) Exp: 8+ Yrs Location: Pune(WFO) Role Overview: The Engagement Manager will lead a forward deployment engineering POD embedded within a medical device client environment. This role is both technical and commercial, operating at the intersection of video-based machine learning, data-driven use case discovery, and customer-facing program execution. Key Responsibilities • Act as the primary point of contact between the client’s sales channel, end customers, and the deployed engineering POD. • Lead discovery sessions, on-site observations, and requirements gathering for video-based machine learning opportunities. • Translate observed workflows and customer challenges into structured AI/ML use cases. • Work with data scientists and ML engineers to scope model development, data preparation, and validation activities. • Drive the full lifecycle of engagement execution—from opportunity identification through delivery and customer success. • Ensure technical alignment, risk management, and timeline adherence across cross-functional teams. • Shape and present commercial proposals, ROI analyses, solution roadmaps, and value narratives. • Manage stakeholder communication, reporting, and executive updates. • Ensure compliance with healthcare/medical device regulatory standards when working with sensitive video data. • Promote a culture of experimentation, rapid iteration, and hypothesis-driven development within the POD. Required Qualifications • 8+ years of experience in customer-facing delivery, technical program management, or AI/ML engagement leadership. • Strong understanding of machine learning concepts, especially video analytics, computer vision, and supervised learning workflows. • Experience working in healthcare, medical devices, or regulated environments involving sensitive data. • Ability to translate ambiguous customer needs into well-scoped technical requirements. • Excellent communication, storytelling, and client management skills. • Proven ability to work on-premises with customers, driving hands-on discovery and solution design. • Strong commercial acumen with experience in pricing, proposal creation, and value-modeling. • Ability to lead cross-functional engineering teams in a dynamic, field-deployed setting. Preferred Qualifications • Background in data science, computer vision, or ML engineering. • Prior experience in forward deployment engineering, field engineering, or consulting. • Knowledge of FDA/medical device regulatory frameworks. • Familiarity with video annotation tools, model training pipelines, and edge-deployment workflows.

Requirements

• Machine Learning
• Video Analytics
• Customer Engagement

Qualifications

• 8+ years of experience in customer-facing delivery, technical program management, or AI/ML engagement leadership.

Preferred Technologies

• Machine Learning
• Video Analytics
• Customer Engagement