Machine Learning Engineer

Job Description:

• Information Retrieval Implementation: Design and Implement efficient information retrieval using (Lang chain) agent, starting with intent classification, determination of agent tools, perform retrieval from both structured and unstructured data, leveraging vector DB to provide relevant responses when users pose questions to the web app.

LLM Integration and Response handling: Collaborate with NLP Data scientist and Integration Engineers to seamlessly integrate the LLM, managing Data flow, and handling responses for a contextually appropriate user experience.

Production zing Vectorization pipeline: Develop a robust and scalable vectorization pipeline, enabling seamless processing and storage of data representations in the vector DB.

Integrating Lang Chain with Backend Collaborate with Full Stack Engineers to seamlessly integrate the Lang chain agent into the backend, enabling data flow and interactions with the LLM for contextual responses.