Qualifications & Skills
Experience: qualified experience in data science, machine learning, and AI, with specific experience in NLP, LLMs, and GenAI applications.
Programming Languages: Robust proficiency in Python is mandatory, with experience in data science libraries like NumPy, Pandas, and Scikit-learn. Knowledge of SQL is also essential for data extraction and manipulation.
AI/ML Frameworks: Expertise deep learning frameworks such as PyTorch and TensorFlow. Familiarity with Hugging Face transformers, NLTK, or SpaCy is also common.
GenAI/NLP Specific Tools & Techniques:
Experience with LLM frameworks like LangChain and LlamaIndex.
Knowledge of building retrieval systems using vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS).
Proficiency in NLP techniques include embeddings, topic modeling, text classification, semantic search, and summarization.
Cloud Platforms: Hands-on experience with major cloud computing services (AWS, Azure, GCP) for model deployment and leveraging services like Azure OpenAI, Google Vertex AI, or AWS Bedrock.
Problem-Solving: Solid analytical, problem-solving, and statistical skills.

📌 Genai Data Scientist Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru