Project Manager AI/ML

Location: Bengaluru, India (Hybrid : Work from Office)

Experience : 6-10 Yrs

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Role Overview

We are seeking a Project Manager – 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 : 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

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Skills & Experience

Experience managing AI/ML, GenAI, or data driven projects in an enterprise environment

Robust 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

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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

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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

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