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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 bank, mid-level ML role in Bengaluru with broad skillset attracts high candidate density.
Core ML skills are transferable but financial-crime domain preference raises background sensitivity to banking experience.
Explicit 5+ years plus mandatory Python, PySpark, SQL and AWS experience increases shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy AI/ML models addressing Financial Crime such as AML, fraud, scam detection, and risk intelligence.
Handle large-scale structured and unstructured datasets using Python, SQL, PySpark, and build scalable data and ML pipelines on AWS cloud.
Collaborate cross-functionally to deliver impactful AI solutions, support model deployment, monitoring, and continuous improvement in production environments.
Minimum Requirements
5+ years of experience in Data Science, Machine Learning, or Applied AI.
Proficient in Python, PySpark, SQL, AWS, with experience in large-scale data processing and production ML model deployment.
Bachelor's, Master's, or PhD in Statistics, Mathematics, Data Science, Computer Science, or related disciplines.
Experience in Financial Crime, Fraud, AML, Risk, or Banking domains is highly regarded but not strictly mandatory.
Ideal Candidate Profile
Experienced in end-to-end AI/ML solution development in high-impact, regulated environments like banking or financial crime prevention.
Strong technical skills in scalable cloud-native AI systems (AWS) and distributed data processing frameworks.
Able to collaborate effectively with engineers, product owners, and domain experts to solve complex business problems and improve model governance and ML Ops practices.