Contract

Hartford Connecticut United States

No

• 4-5 Years of AI/ML experience.
• Python: Expertise in Python Data Exploration and Data Science stack - Jupyter Notebook, Pandas, Matplotlib, Sci-kit Learn etc.
• NLP: Experience using Hugging Face pipelines to perform various NLP tasks such as classification, generation, entity detection, etc.
• LLM Application: Hands-on 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 Few-shot learning, Chain-of-thought, etc. and leverage various features such as function calling, Responsible AI, etc.

Familiarity with improving the vector indexing, Query Expansion, Cross-encoder reranking, Training and utilizing Embedding Adapters.