Job Description

Develop end-to-end machine learning solutions including data preprocessing, model training, evaluation, and optimization. Implement embedding techniques and vector search using tools like FAISS, Pinecone, or Elasticsearch. Work with Generative AI models and large language models (LLMs) such as GPT, LLaMA, Claude, etc. Perform prompt engineering and fine-tune pretrained models to enhance performance. Design and implement Retrieval-Augmented Generation (RAG) pipelines for retrieval-based generation. Deploy machine learning models using FastAPI, Flask, and containerize applications with Docker. Utilize open-source LLMs like LLaMA2/3, Mistral, Falcon in AI-driven projects. Extract data from images using OCR tools and integrate this into machine learning workflows. * Leverage AI/ML tools and frameworks such as LangChain, Hugging Face Transformers, and OpenAI API to build advanced AI solutions.