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Tier-1 brand, metro location, and broad ML/GenAI skill requirements drive high competition.
Demands deep ML/AI and production experience, limiting easy cross-industry transferability.
Requires 7+ years, advanced degree, and production ML/MLOps expertise, so filters are highly strict.
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Lead end-to-end lifecycle of strategic AI/ML projects from problem definition to production and business adoption.
Design, develop, and deploy scalable ML, deep learning, and Generative AI models impacting sales and operational efficiency.
Collaborate cross-functionally to identify opportunities and drive AI innovation with focus on scalable, reliable, and maintainable solutions.
Master's or PhD in Computer Science, AI, Machine Learning, or related quantitative discipline.
7+ years industry experience applying ML and statistical techniques to solve business problems.
Proficient in Python programming with experience in building production-grade ML applications and scalable ML pipelines.
Experience working with large-scale structured/unstructured data using Spark, SQL, or distributed computing frameworks.
Experienced in deploying AI/ML models including advanced Generative AI techniques and agentic AI workflows in production environments.
Strong collaboration skills to work with product, engineering, sales, and business stakeholders in ambiguous problem settings.
Able to mentor junior engineers and influence technical direction across projects, emphasizing engineering excellence and reusable AI platforms.