ML and GenAI

Build and deploy ML and GenAI solutions across use cases like fraud detection, credit risk, personalization, customer servicing, and commerce experiences

Design and implement LLM-powered applications (RAG pipelines, copilots, autonomous/agentic workflows)

Integrate AI models into production systems with APIs, microservices, and event-driven architectures

Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn) Experience with LLM frameworks (LangChain, LlamaIndex, vector DBs like Pinecone/FAISS) Solid understanding of data structures, algorithms, and system design