Senior Lead Python AI/ML Engineer

Lead the design, development, and deployment of high-scale, low-latency AI/ML solutions focused on Fraud Mitigation, Risk Scoring, and Loss Prevention for US Retail Banking.

Architect and build production-grade Generative AI systems including RAG, autonomous agents, semantic search, and multi-modal AI workflows optimized for latency, cost, and accuracy.

Mentor senior/mid-level engineers and data scientists, drive technical roadmap, conduct PoCs, and collaborate with global teams ensuring compliance with US banking regulatory standards.

10 to 12 years of professional experience in software engineering and production AI/ML system development.

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Applied Mathematics, or related quantitative field.

Advanced proficiency in Python 3.x with experience in FastAPI, Flask, AsyncIO, and strong knowledge of ML frameworks like PyTorch, TensorFlow, Scikit-learn.

Hands-on experience with Generative AI production applications, cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and MLOps/LLMOps practices.

Demonstrated track record in building and optimizing Generative AI systems and integrating state-of-the-art LLMs such as Google Gemini and Anthropic Claude, including prompt engineering and fine-tuning.

Experience in real-time risk assessment and fraud detection domains, including anomaly detection, graph neural networks, and fraud prevention for banking products.

Ability to lead technical teams in hybrid work environments, drive architectural decisions, and ensure adherence to US Banking regulations and model risk management frameworks.