Role Summary :

The Data Platform Team at NBBL is responsible for building and scaling AI-driven data solutions that power payment and financial systems. The role involves developing machine learning, deep learning, and Generative AI applications using large-scale transactional and business datasets.

Key Responsibilities :

- Develop ML, Deep Learning, and Generative AI applications for fraud detection, anomaly identification, transaction intelligence, and intelligent automation.

- Design, deploy, and optimize secure, scalable, and production-ready AI and data platform solutions.

- Collaborate with cross-functional teams to drive business outcomes.

Tech Stack :

- Python, NumPy, Pandas, Scikit-learn

- Machine Learning, Deep Learning, NLP, Large Language Models (LLMs), Generative AI, Agents, Model Context Protocols (MCPs)

- Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases, Embeddings, Semantic Search

- ML pipelines, model deployment, data pipelines, cloud platforms

Requirements :

- 3 - 12 years of experience in AI/ML engineering.

- Strong expertise in Python and AI/ML libraries.

- Hands-on experience with LLMs, RAG, and production-grade AI applications within fintech or payment ecosystems.

- Experience with large-scale data processing, feature engineering, and model evaluation.