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Tier-1 brand and Bangalore metro presence with a visible AI manager role raise applicant competition moderately.
Advanced ML, production deployment skills are transferable but GTM-specific experience moderately limits cross-industry fit.
Multiple mandatory years, technical stack, GenAI and production deployment requirements make shortlisting strict.
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Lead design, development, and deployment of scalable AI/ML models and GenAI-powered workflows to improve GTM operations.
Define technical roadmap and architecture for Technology & Product Operations; collaborate with R&D on platform enhancements.
Develop production-quality Python and SQL code to build automated data pipelines and analytics; mentor peers on AI tooling and best practices.
8+ years experience in data science, machine learning, or analytics engineering.
5+ years Python experience in data manipulation and ML libraries; SQL experience with large-scale data warehouses.
1+ year experience with GenAI technologies and deploying ML models in production.
Bachelor's degree in CS, Statistics, OR, Engineering, or related quantitative field (or equivalent experience).
Experienced technical leader combining hands-on coding with strategic roadmap ownership in complex data environments.
Strong expertise in applied AI/ML and demonstrated ability to drive ambiguous projects end-to-end from prototype to production.
Skilled at cross-functional partnership, translating technical concepts for senior leadership, and mentoring teams on AI adoption.