Project Manager - Ai Ml: Bangalore: Itpl

Please share your resume to kiran.devaraj@gyansys.com / 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.