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About the Role
Tech Lead - AI/ML - CREQ190201 Description 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.
Famil...
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.
Famil...
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