Back
Tier-1 brand, popular Data Scientist/ML role, mid-level experience, and Bangalore location increase applicant competition.
Finance-focused use cases and controls preference raise domain specificity, though core ML skills remain transferable.
Explicit 4+ years requirement plus mandatory AI/ML, production experience, Python/SQL and big-data proficiencies increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy production-grade AI, machine learning, and automation solutions for complex Finance use cases.
Develop intelligent agents, web apps, automation workflows, and decision-support tools integrated into business processes.
Collaborate with Finance and cross-functional teams to translate business problems into scalable technical solutions and drive execution across the solution lifecycle.
4+ years of experience designing and delivering AI, machine learning, and intelligent automation solutions in enterprise environments.
Strong programming skills in Python and SQL and experience with modern AI/ML frameworks.
Experience working with big data technologies (e.g., Hadoop, Teradata); Google Big Query experience is a plus.
Work Experience Required: 4+ years relevant experience in AI/ML and automation solutions.
Experienced in end-to-end delivery of production-ready AI and automation solutions, preferably in regulated or controls-focused environments.
Skilled at translating complex Finance business needs into scalable, maintainable software and automation solutions.
Operates effectively as a hands-on individual contributor within global, cross-functional teams.