GyanSys - Project Manager - AI/ML

: 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:

• Must Have: Indepth 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 trade offs 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.