About the Role
We are looking for an experienced Project Manager to lead the end-to-end delivery of AI/ML and Generative AI initiatives in an enterprise environment.
The ideal candidate will have a strong understanding of ML, DL, GenAI solutions, and the complete Software Development Life Cycle (SDLC), with experience managing cross-functional teams, driving project governance, and ensuring successful solution deployments. You will work closely with AI/ML engineers, data teams, platform, security, and business stakeholders to deliver scalable and production-ready AI solutions.
Experience: 6–10 Years
Employment Type: Full-Time
Location: Bengaluru (On-site)
Key Responsibilities
- Lead end-to-end delivery of AI/ML and Generative AI projects from planning through rollout and project closure.
- Define project scope, timelines, success criteria, effort estimations, and delivery plans.
- Manage project governance using Jira, Confluence, and Agile delivery methodologies.
- Coordinate cross-functional teams across AI/ML, Data Engineering, Platform, Security, and Operations.
- Track project progress, risks, dependencies, and mitigation plans while communicating updates to stakeholders and leadership teams.
- Ensure infrastructure, data access, security, and compliance readiness across development and production environments.
- Support solution rollouts, documentation, operational handoffs, and continuous process improvements.
- Drive business value through ROI calculations, business use case presentations, and delivery excellence.
Required Skills & Qualifications
- 6–10 years of experience in Project Management with exposure to AI/ML, Generative AI, or data-driven projects.
- Strong understanding of Machine Learning, Deep Learning, and Hyperscaler AI solutions (Azure preferred).
- Experience managing multiple AI/ML and GenAI solution deployments across the complete SDLC.
- Hands-on experience with Jira, Confluence, and Agile delivery frameworks.
- Excellent stakeholder management, cross-functional collaboration, and problem-solving skills.
- Ability to manage project risks, dependencies, and technical trade-offs effectively.
- Experience working with cloud platforms, AI/ML platforms, or data-driven applications.
Preferred Skills
- PMP or equivalent Project Management certification.
- Exposure to governance, security, and compliance processes in enterprise environments.
- Experience working on semiconductor or manufacturing-focused products is an added advantage.
- Prior Product Management experience involving roadmaps, product requirements, and business-driven prioritization is preferred.