About The Role
You will build ML systems that improve payment success rates, detect fraud in real-time, and automate merchant risk assessment. Every 1% improvement in success rate translates to crores in additional GMV for our merchants.
You'll own the full ML lifecycle: feature engineering, model development, deployment, and monitoring. This is a greenfield role—you'll shape the ML architecture from scratch.
Roles & Responsibilities
- Build smart payment routing models to optimize transaction success rates across UPI, cards, and net banking rails
- Design and deploy real-time fraud detection systems with sub-100ms latency—device fingerprinting, behavioral analysis, velocity checks
- Develop merchant risk scoring models for automated underwriting using documents, transaction patterns, and external signals
- Build document intelligence pipelines—OCR, classification, and data extraction for KYC documents (PAN, Aadhaar, GST, bank statements)
- Set up ML infrastructure—feature stores, model serving, A/B testing frameworks, monitoring and alerting
- Collaborate with product and engineering teams to integrate ML models into production systems
- Monitor model performance, detect drift, and implement retraining pipelines
- Document model architecture, training procedures, and performance metrics
Requirements
- 3-5 years of applied ML with models deployed to production (not just notebooks/Kaggle)
- Strong Python with PyTorch or TensorFlow, plus pandas/numpy for data manipulation
- End-to-end ML skills: feature engineering, training, evaluation, deployment, monitoring
- Experience with tabular/transactional data and classification/ranking problems
- Understanding of real-time inference—latency budgets, feature stores, model serving
Good to Have
- Fraud detection or risk modeling experience in fintech/payments
- Multi-armed bandits or reinforcement learning for optimization
- Graph neural networks for network-based detection
- LLM experience: RAG pipelines, fine-tuning, prompt engineering
About Company
SabPaisa (SRS Live Technologies) is an RBI Authorised Payment Aggregator.
Founded in 2016 with headquarters in New Delhi, a corporate office in Kolkata, and regional offices across the country, it is a rapidly advancing fintech company. SabPaisa is dedicated to providing simplified payment solutions, offering customizable options tailored to the client's unique needs.
How Are We Different
SabPaisa's dynamic, PCI-DSS and SSL-certified payment gateway offers secure online checkout with diverse options—Cards, Net-Banking, UPI, Wallets, and offline choices like e-Cash, e-NEFT & Bharat QR, available at nearly 10 Lac Cash Counters nationwide.
Our white-labelled payments and collection suite partners with banks like BOI, BOB, IDFC First, Canara, UBI & Indian Bank, processing over INR 94.9 billion.
Introduction Video: https://www.youtube.com/watchv=K7Z7A059faE
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