AI/ML Data Scientist
Location: Bangalore (Hybrid)
Experience: 8-15 Years
Industry: Payments / FinTech
About Company
Altimetrik is a global AI-native engineering and digital transformation company headquartered in Southfield, Michigan, USA. Founded in 2012, the company helps enterprises modernize their technology, data, and business operations through artificial intelligence, cloud, data engineering, product engineering, and digital solutions
About the Role
We are seeking an experienced AI/ML Data Scientist to design, build, and deploy machine learning solutions for large-scale payment platforms. The ideal candidate will leverage advanced analytics, machine learning, and AI technologies to address business-critical challenges including fraud detection, risk scoring, authorization optimization, anomaly detection, and transaction monitoring.
This role combines expertise in Data Science, Machine Learning Engineering, and the Payments domain, working closely with Product, Risk, Compliance, and Engineering teams to develop production-grade AI solutions that drive business outcomes.




Key Responsibilities
Machine Learning & Model Development
Design, develop, validate, and deploy ML models for:
Real-time fraud detection
Card-not-present (CNP) risk scoring
Authorization approval/decline optimization
Merchant risk assessment
Chargeback and dispute prediction
AML and transaction anomaly detection
Build advanced features using transactional, behavioral, device, and network data.
Select and implement appropriate ML techniques including classification, anomaly detection, graph analytics, time-series modeling, and deep learning.
MLOps & Production Engineering
Deploy machine learning models in real-time and batch processing environments.
Implement model monitoring, drift detection, performance tracking, and retraining strategies.
Establish MLOps best practices including model versioning, CI/CD pipelines, reproducible training workflows, and A/B testing frameworks.
Collaborate with en

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