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Work Location: Hybrid (3 days/week)
Bangalore Office: GyanSys Infotech, Prestige Shantiniketan (PSN) Tech Park, ITPL Road, Whitefield, Bangalore - 560048
Project Manager – DIA AI/ML
Organization: Data, Insights & Applications (DIA) – AI/ML
Location: Bengaluru, India (Hybrid: Work from Office)
Experience: 8-12 Yrs
Role Overview
We are seeking aProject Manager – DIA AI/ML to lead the end-to-end delivery of AI/ML and GenAI initiatives across Applied Materials. This role partners closely with AI/ML engineers, data teams, platform, security, and business stakeholders to ensure projects are delivered with clear scope, predictable timelines, strong governance, and production readiness.
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Key Responsibilities
- Must Have: In-depth understanding of ML, DL, Hyperscalar AI Solutions (Preferred Azure)
- Must Have: Worked on multiple GenAI and ML/DL Solution deployment. Expertise in entire SDLC, project closure, ROI calculation, Business use case presentation etc.
- Lead AI/ML project delivery from intake and planning through execution, rollout, and closure
- Drive requirements kickoff, define scope and success criteria, and support effort and cost estimation (VROM)
- Establish and manage project governance, including Jira boards, Confluence spaces, milestones, and delivery cadence
- Coordinate cross functional teams across AIML, Data, Engineering, Platform, Security, and Operations
- Track progress, risks, dependencies, and mitigation plans; communicate status to stakeholders and leadership
- Ensure infra, data access, security, and compliance readiness for AI/ML solutions across DEV/QA/PROD
- Support rollout, transition, documentation, and operational handoff
- Capture lessons learned and contribute to continuous improvement of DIA delivery practices
Skills & Experience
- Experience managing AI/ML, GenAI, or data driven projects in an enterprise environment
- Strong understanding of Agile and hybrid delivery models.
- Excellent stakeholder management and cross team coordination skills.
- Hands on experience with Jira, Confluence, and modern delivery tooling.
- Ability to manage ambiguity, dependencies, and technical tradeoffs effectively
- Good to have: Knowledge of the semiconductor domain and experience working on semiconductor or manufacturing focused products.
- Good to have: Prior product management experience, including exposure to roadmaps, product requirements, or business driven prioritization.
Preferred Qualifications
- PMP or similar project management certification (preferred).
- Experience working with cloud platforms, data pipelines, or AI/ML platforms.
- Exposure to governance, security, or compliance processes in enterprise environments.
What Success Looks Like
- AI/ML initiatives delivered on time, within scope, and with high quality.
- Stakeholders aligned and informed throughout the project lifecycle.
- Solutions deployed with strong governance, scalability, and operational readiness.
