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
