11 Oct
|
RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
|
Bengaluru
11 Oct
RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Bengaluru
- Project Manager – DIA AI/ML
- Organization: Data, Insights & Applications (DIA) – AI/ML
- Location: Bengaluru, India
- 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 up-to-date 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
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📌 Project Manager – DIA AI/ML (Bengaluru)
🏢 RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
📍 Bengaluru