- 5+ years of experience in Data Science, AI, ML, and NLP.
- Experience with Large Language Models (LLM), Langchain, Embed Chain, Transformers, and NLP tools (NLTK, Spacy, BERT, SBERT models).
- Familiarity with vector databases (Milvus, FAISS, Pinecone, Vespa, etc.).
- Proficiency in Python, Streamlit, FastAPI, RNN/CNN using TensorFlow or PyTorch.
- Experience with orchestration, RAG, prompt engineering, fine-tuning, Lang-Chain Framework, LLMs/model customization, and deployment.
- Set up the foundation for (Generative) AI at the enterprise level.
- Play a key role in defining AI architecture and selecting appropriate technologies (Cloud, Open Source, On-premises, Hybrid, Multi-Cloud).
- Strong understanding of workflow and pipeline architecture.
- Design, develop, and research machine learning systems, models, and schemes through data science and analytics prototypes.
- Understanding of Natural Language Processing (NLP), Understanding (NLU), and Generation (NLG).
- Programming proficiency is an added advantage.
- Experience with Chat, IVR, and Banking solutions will be beneficial.
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