· 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 (India)
🏢 Tata Consultancy Services
📍 India
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