Project Description:
We are looking for an experienced Python developer who is skilled in working with the OpenAI API, various vector stores like FAISS and Pinecone, and who has the capability to build small-scale reinforcement learning models. This role involves developing a sophisticated tool for creating academic arguments and reviewing academic manuscript snippets, integrating Langchain's open API with advanced machine learning techniques and large language models (LLMs).
Key Responsibilities:
Develop and implement Python code integrating Langchain's open API, OpenAI API, and vector storage solutions such as FAISS and Pinecone.
Design and build small-scale reinforcement learning models to enhance the functionality and efficiency of the academic tool.
Collaborate in problem-solving, optimizing, and refining code to meet high academic standards.
Work closely with our team to understand project requirements and deliver innovative technical solutions.
Skills and Qualifications:
Proficient in Python with experience in working with APIs, particularly Langchain and OpenAI.
Familiarity with vector storage solutions like FAISS and Pinecone.
Experience in building and integrating reinforcement learning models.
A strong background in machine learning, with a focus on enhancing LLM capabilities.
Excellent problem-solving skills, attention to detail, and capability to work in both independent and collaborative environments.
Previous experience in developing academic tools or related projects is highly desirable.
Project Duration:
This project will involve a series of short-term contracts, with timelines and milestones to be mutually agreed upon.
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