Project Manager - AI ML : Bangalore: ITPL

Please share your resume to [email protected] / Call: 8867163603 for more details. 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 a Project 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. ________________________________________ 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.