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Metro Bangalore, popular Data Scientist/Applied AI title and recognizable bank brand create moderate competition.
Core ML/GenAI engineering skills are transferable, though banking regulatory experience adds moderate domain specificity.
Explicit years requirements and hands-on ML/GenAI skills increase filter strictness without niche certifications.
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Build, configure, test, and document AI/ML and GenAI solution components under senior guidance.
Prepare and analyze data, develop features, execute evaluation plans, troubleshoot defects, and maintain technical documentation.
Follow governance and responsible AI requirements while contributing reusable code and supporting team efficiency improvements.
Bachelor's degree with 4 years experience in data management, IT, financial services, enterprise risk, or related fields with hands-on AI/analytics delivery; OR High School Diploma/GED with 8 years experience.
Working proficiency in Python and SQL; exposure to data science, machine learning, or GenAI libraries and basic software development practices like version control.
Experience with data preparation, model evaluation, test design, documentation, and basic monitoring concepts.
Work Experience Required: 4 years with Bachelor's or 8 years with High School Diploma/GED in relevant disciplines with hands-on AI/advanced analytics delivery.
Practitioner with demonstrated ability to execute high-quality technical AI/ML solution builds under senior leadership.
Comfortable working in a regulated, enterprise environment focusing on practical and responsible AI applications including GenAI.
Collaborative operator who can communicate clearly in a distributed global team and contribute to reusable methods and technical governance adherence.