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Tier-1 brand and metro Hyderabad increase applicant density, while seniority and niche ML skills limit competition.
Specialised AI leadership with finance-focused Responsible AI governance makes cross-industry transferability limited.
Very high seniority plus mandatory ML leadership, GCP and foundation-model expertise produce strict shortlisting filters.
Lead and manage the delivery lifecycle of machine learning and AI solutions, including development, deployment, monitoring, and optimisation.
Provide technical leadership and mentorship to a multidisciplinary data science team, fostering knowledge sharing and continuous learning.
Drive AI solution design with a focus on customer predictive modelling and embed Responsible AI governance including ethics, bias mitigation, and compliance.
18+ years overall experience (implied seniority).
5+ years of experience in data science or AI roles.
Experience leading a multidisciplinary team of Data Scientists and ML Engineers.
Degree in Computer Science, AI, Data Science or related field or equivalent experience; strong knowledge of cloud platforms (GCP preferred).
Experienced in end-to-end machine learning and AI product delivery in a large-scale, regulated financial services environment.
Strong technical leadership with proven ability to manage cross-functional teams and communicate with business stakeholders.
Skilled in advanced machine learning techniques, Python programming, GCP platform, and foundation model application with a pragmatic balance of innovation and practicality.