Job Description

• 45 Years of AI/ML experience.
• Python: Expertise in Python Data Exploration and Data Science stack Jupyter Notebook Pandas Matplotlib Scikit Learn etc.
• NLP: Experience using Hugging Face pipelines to perform various NLP tasks such as classification generation entity detection etc.
• LLM Application: Handson experience using Llama Index or Lang chain to build semantic search retrieval augmented generation (RAG) hybrid search systems.
• Prompt Engineering: Experience using Open AI or Vertex AI or Llama APIs to design and structure the inputs to an LLM programmatically.
• Vector Database: Experience using Vector Databases such as PineCone Qdrant Vespa Weaviate etc.
• Evaluation: Familiarity with NLP evaluation metrics used to assess retrieval and generation quality
• Cloud: Experience using Big cloud providers such as AWS GCP Azure to quickly deploy POCs.
• Familiarity with MongoDB Atlas data modeling indexing and querying.
• Familiarity with conversation AI platforms such as Kore AI RASA Google Dialog flow CCAI etc
• Experience using Approximate Nearest Neighbor libraries such as FAISS ANNOY etc.
• Familiarity with advanced Prompting techniques such as Fewshot learning Chainofthought etc. and leverage various features such as function calling Responsible AI etc.

Familiarity with improving the vector indexing Query Expansion Crossencoder reranking Training and utilizing Embedding Adapters.

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