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Metro-based technical PM with common title, broad AI/ML requirements, and cross-functional scope increases competition.
Role demands deep AI/ML lifecycle, MLOps and technical delivery experience, reducing cross-industry transferability.
Mandatory 8–10 years plus specific AI/ML and MLOps expertise enforces strict candidate filtering.
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Own end-to-end delivery of AI/ML, Data Engineering, and Digital Transformation projects from initiation to production deployment.
Lead cross-functional teams including AI Engineers, Data Scientists, Developers, MLOps, Cloud Architects, and stakeholders ensuring on-time delivery and high-quality software.
Manage project planning, estimation, monitoring, root cause analysis, and apply Agile, Kanban, Waterfall, and iterative methodologies ensuring alignment with company goals.
8-10 years of experience managing complex software development projects using Agile methodologies.
Strong understanding of AI/ML lifecycle including Generative AI, LLMs, RAG, NLP, and Computer Vision.
Experience coordinating MLOps activities, complying with AI governance, Responsible AI principles, data privacy, and regulatory compliance.
Experience with project management tools (JIRA, Sharepoint, MS Project) and working knowledge of Big Data/Analytics tools (Power BI, Tableau, SQL Server).
Experienced in managing technical projects involving AI/ML with cross-functional teams in a matrixed organization.
Demonstrates ability to align project delivery with business goals and prioritize multiple concurrent projects.
Familiar with cloud technologies, distributed systems, and emerging data and AI trends to optimize scalable, secure solutions.