Job Description
Project Manager
- DIA AI/ML Organization Data, Insights & Applications (DIA)
- AI/ML

Location:
Bengaluru, India (Hybrid : Work from Office) Experience 6
- 10 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
• 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. Tech Stack & Requirements
• In-depth understanding of ML, DL,



Hyperscalar AI Solutions (Preferred Azure).
• Worked on multiple GenAI and ML/DL Solution deployment.
• Expertise in entire SDLC, project closure, ROI calculation, Business use case presentation etc.
• 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 contemporary delivery tooling.
• Ability to manage ambiguity, dependencies, and technical trade offs effectively. 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. Good To Have
• Knowledge of the semiconductor domain and experience working on semiconductor or manufacturing focused products.
• Prior product management experience, including exposure to roadmaps, product requirements, or business driven prioritization. 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. (ref:hirist.tech)

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