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Well-known bank brand and Bangalore metro increase applicant density despite senior, niche ML/GenAI focus.
Core ML/GenAI engineering skills transfer broadly, but financial services governance and Responsible AI needs add domain bias.
Explicit seniority, mandatory AI/GenAI hands-on experience, Python/SQL, and governance requirements raise filtering.
Develop, test, and document AI/ML, advanced analytics, and GenAI solution components under senior guidance.
Execute evaluation plans including performance testing, data validation, and monitoring support for AI use cases.
Maintain technical artifacts, support Responsible AI practices, and contribute reusable code and documentation to improve team efficiency.
Bachelor's Degree with 4 years of AI/advanced analytics delivery experience OR High School Diploma/GED with 8 years in related fields.
Proficiency in Python and SQL; experience with data science or GenAI libraries and software development practices like version control.
Experience in data preparation, model evaluation, and test design; familiarity with cloud or enterprise data environments is beneficial.
Work Experience Required: Minimum 4 years with Bachelor's, or 8 years with High School Diploma/GED, in relevant domains.
Operates effectively under senior direction while growing technical independence and delivering reliable, high-quality AI analytics solutions.
Focuses on pragmatic, problem-focused use of AI/ML/GenAI technologies within a regulated financial services environment.
Communicates clearly with global teams and maintains disciplined technical documentation, evaluation, and testing practices.