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Senior niche GenAI role in metros with lesser-known employer reduces applicant density.
Core GenAI and Python skills transfer across industries, making background sensitivity low.
Explicit 7–10 years, mandatory Python, LLMs and data engineering make filters strict.
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Lead design, architecture, and implementation of advanced Python and GenAI applications and data-driven solutions.
Drive end-to-end development efforts and lead engineering teams ensuring alignment with enterprise standards.
Design and deploy machine learning systems including training, inference, and monitoring, and mentor technical teams.
7–10 years of experience in developing scalable AI/ML applications using Python and GenAI frameworks.
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
Strong expertise in Python, including data libraries such as NumPy and Pandas.
Work mode is Hybrid (3 days office in Pune or Chennai).
Experienced senior developer capable of leading technical initiatives and influencing architecture decisions in enterprise environments.
Deep expertise in Python, system architecture, distributed systems, and data engineering concepts.
Proven ability to lead and mentor global, cross-functional engineering teams on advanced AI/GenAI projects.