5+ yrsBengaluruOn-siteDirect career pageEst. 22–38 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development and deployment of AI/ML models targeting Financial Crime prevention, including AML, fraud, scams, and risk intelligence.
- Build and optimize cloud-native scalable AI solutions and data pipelines on AWS using Python, SQL, and PySpark.
- Collaborate with cross-functional teams to solve complex business problems and ensure continuous improvement and governance of production ML systems.
Minimum Requirements
- 5+ years of experience in Data Science, Machine Learning, or Applied AI.
- Proficiency in Python, PySpark, SQL, and AWS for large-scale data processing and ML model deployment.
- Bachelor's, Master's, or PhD in Statistics, Mathematics, Data Science, Computer Science, or related disciplines.
- Experience or domain exposure in Financial Crime, Fraud, AML, Risk, or Banking is highly regarded.
Ideal Candidate Profile
- Experienced in building and shipping Generative and Agentic AI based systems relevant to financial crime detection.
- Comfortable working in cross-disciplinary teams involving engineers, product owners, and domain experts with an emphasis on ML Ops and responsible AI.
- Skilled in handling large-scale structured and unstructured datasets with strong analytical and stakeholder communication capabilities.