Senior AI Engineer
VegapayHSR Layout, BangalorePosted 4 months ago
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About the role
Vegapay builds configurable fintech infrastructure for banks, NBFCs, and enterprises to launch and manage credit and payment programs. You will design, deploy, and monitor production AI/ML systems for credit decisions, fraud detection, and customer experiences.
What you'll do
- Build production ML models for underwriting, risk scoring, and fraud detection
- Architect low-latency inference pipelines integrated with payment flows
- Lead AI feature roadmaps from problem framing through deployment and monitoring
- Integrate LLM and generative AI capabilities into products and internal tools
- Build data pipelines for model training and real-time inference
- Set ML engineering practices for experimentation, observability, and drift detection
Skills
Must have
- Machine learning
- Supervised learning
- Unsupervised learning
- Gradient boosting
- Deep learning
- Model evaluation
- Python
- Real-time inference
- Data pipelines
- Distributed systems
Nice to have
- LLMs
- Prompt engineering
- RAG
- Credit scoring
- Fraud detection
- Risk scoring
Tools
- PyTorch
- TensorFlow
- Scikit-learn
- Mlflow
- Xgboost
- Lightgbm
- Kafka
- Spark
- Flink
- Clickhouse
Who it's for
- Experience
- 5+ years
- Domain
- fintech payments and lending
About Vegapay
Vegapay has 12 open roles in Bangalore, at Vegapay Bengaluru. See every Vegapay role.
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