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High competition due to popular GenAI skillset, metro location, and broad enterprise delivery requirements.
High because role requires specialized ML/GenAI delivery experience and enterprise governance expertise.
Medium shortlisting due to mandatory ML/GenAI deployment experience but no explicit years requirement.
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Lead end-to-end delivery of AI/ML and GenAI projects including intake, planning, execution, rollout, and closure.
Manage project governance using tools like Jira and Confluence, ensuring clear scope, timelines, risk tracking, and stakeholder communication.
Coordinate cross-functional teams across AI/ML, data, platform, security, and operations to ensure production readiness and operational handoff.
Experience managing AI/ML, GenAI, or data-driven projects in an enterprise environment.
Deep understanding of ML, DL, and Hyperscaler AI Solutions, preferably Azure.
Hands-on experience with project delivery tools such as Jira and Confluence.
Work Experience Required: Not explicitly mentioned in the JD.
Proven ability to lead AI/ML project delivery with strong governance and cross-team coordination in enterprise settings.
Familiarity with Agile and hybrid delivery models and managing technical ambiguities and trade-offs.
Preferred project management certification (e.g., PMP) and exposure to cloud platforms, data pipelines, or AI/ML platforms.