- Robust hands-on experience with Python for data processing and AI development.
- Experience working with LLM APIs (such as Azure OpenAI, or Lamma).
- Practical experience with prompt engineering, prompt tuning, and evaluation of LLM outputs.
- Experience with RAG (Retrieval-Augmented Generation) architectures and vector databases (e.g., FAISS, Pinecone, Azure AI Search).
- Knowledge of Agentic AI frameworks such as Semantic Kernel, or similar orchestration frameworks.
- Experience in data preprocessing, NLP techniques, and handling large datasets.
- Familiarity with REST APIs, data pipelines, and integrating AI models with enterprise applications.
- Understanding of model evaluation, monitoring, and optimization techniques.
📌 Data Scientist (Chennai)
🏢 Tata Consultancy Services
📍 Chennai
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