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Senior 8–10 years, metro Hyderabad, and AI/ML specialization create moderate competition.
Requires domain-specific AI/ML lifecycle and MLOps expertise, limiting cross-industry transferability.
Explicit 8–10 years plus mandatory AI/ML, MLOps and PM tool requirements make shortlisting strict.
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Lead end-to-end delivery of AI/ML, Data Engineering, and Digital Transformation software projects, ensuring on-time, on-budget production deployment.
Drive cross-functional collaboration among AI Engineers, Data Scientists, MLOps Engineers, Cloud Architects, Developers, and business stakeholders to align project priorities with company goals.
Own project estimation, planning, monitoring, status reporting, and lead Root Cause Analysis for critical incidents to ensure corrective actions and continuous delivery improvement.
8-10 years experience managing complex software development projects using Agile methodologies.
Strong understanding of AI/ML lifecycle including Generative AI, LLMs, RAG, NLP, Computer Vision, and familiarity with MLOps activities.
Experience with project management tools such as JIRA, Sharepoint, MS Project and knowledge in Big Data, Analytics tools like Power BI, Tableau, SQL Server.
Work Experience Required: 8-10 years stated explicitly; no explicit mention of degree or location constraints.
Experienced in managing technical AI/ML software development projects with a strong grasp of both application and infrastructure non-functional requirements (performance, scalability, reliability).
Comfortable liaising between highly technical teams and business stakeholders, translating business requirements into scalable AI-driven solutions with governance and security considerations.
Demonstrated ability to handle multiple projects simultaneously in a matrixed organization, driving prioritization, funding discussions, and opportunity identification for business expansion.