Project Manager - AI ML : Bangalore: ITPL

Job Description

Please share your resume to kiran.devaraj@gyansys.com / Call: 8867163603 for more details.

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Work Location: Hybrid (3 days/week)

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Bangalore Office: GyanSys Infotech, Prestige Shantiniketan (PSN) Tech Park, ITPL Road, Whitefield, Bangalore - 560048

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Project Manager – DIA AI/ML

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Organization: Data, Insights & Applications (DIA) – AI/ML

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

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Experience: 8-12 Yrs

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Role Overview

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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.

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Key Responsibilities

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• Must Have: In-depth understanding of ML, DL, Hyperscalar AI Solutions (Preferred Azure)
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• Must Have: Worked on multiple GenAI and ML/DL Solution deployment. Expertise in entire SDLC, project closure, ROI calculation, Business use case presentation etc.
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• Lead AI/ML project delivery from intake and planning through execution, rollout, and closure
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• Drive requirements kickoff, define scope and success criteria, and support effort and cost estimation (VROM)
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• Establish and manage project governance, including Jira boards, Confluence spaces, milestones, and delivery cadence
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• Coordinate cross functional teams across AIML, Data, Engineering, Platform, Security, and Operations
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• Track progress, risks, dependencies, and mitigation plans; communicate status to stakeholders and leadership
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• Ensure infra, data access, security, and compliance readiness for AI/ML solutions across DEV/QA/PROD
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• Support rollout, transition, documentation, and operational handoff
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• Capture lessons learned and contribute to continuous improvement of DIA delivery practices
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Skills & Experience

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• Experience managing AI/ML, GenAI, or data driven projects in an enterprise environment
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• Strong understanding of Agile and hybrid delivery models.
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• Excellent stakeholder management and cross team coordination skills.
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• Hands on experience with Jira, Confluence, and modern delivery tooling.
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• Ability to manage ambiguity, dependencies, and technical tradeoffs effectively
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• Good to have: Knowledge of the semiconductor domain and experience working on semiconductor or manufacturing focused products.
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• Good to have: Prior product management experience, including exposure to roadmaps, product requirements, or business driven prioritization.
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Preferred Qualifications

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• PMP or similar project management certification (preferred).
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• Experience working with cloud platforms, data pipelines, or AI/ML platforms.
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• Exposure to governance, security, or compliance processes in enterprise environments.
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What Success Looks Like

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• AI/ML initiatives delivered on time, within scope, and with high quality.
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• Stakeholders aligned and informed throughout the project lifecycle.
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• Solutions deployed with strong governance, scalability, and operational readiness.
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