LLM Scientist - 100% Remote(Offshore) - W2 Only KPG99 INC

About KPG99 INC

Job Description

You will be joining our team as a Large Language Model Scientist specializing in Retrieval Augmented Generation (RAG). Your main responsibilities will involve developing, optimizing, and deploying RAG-based LLM Solutions to meet the business requirements of our client, a Bank. Your role will require a deep understanding of Data Science, Machine Learning (ML), Natural Language Processing (NLP), and Large Language Model (LLM) fundamentals. Specifically, you should have experience with agent-based prompting techniques such as LangChain, API-driven development architectures for AI products, usage of vector databases, and information retrieval pipelines to extract insights. Furthermore, your ability to comprehend and address business needs by designing and solving specific problems for stakeholders will be crucial. To excel in this position, you must possess the following skills and qualifications: - Minimum of 3 years of experience in Python, ML, and AWS Cloud Computing - Familiarity with AWS Bedrock LLM suite models and associated prompting strategies - At least 1 year of experience in NLP and LLMs, with a focus on Retrieval Augmented Generation models - Proficiency in Python for data science and AI development - Knowledge of agent-based LLM frameworks like LangChain - Experience with AI training frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers - Proficiency in prompt engineering and fine-tuning LLMs for specific applications - Understanding of vector databases and experience with embedding techniques - Familiarity with DevOps practices, including CI/CD pipelines and containerization tools like Docker and Kubernetes - Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic work environment In addition to the required skills, the following qualifications would be considered advantageous: - Knowledge of orchestration tools for AI product development, such as ArgoCD - Ability to create and explain diagrams illustrating data and solution flows to effectively communicate solutions and data/AI processes to team members and internal stakeholders - Experience in LLM UI/Frontend Design deployment If you meet the above requirements and are looking to contribute your expertise in LLM Scientist role, this opportunity offers a challenging yet rewarding environment for you to make a significant impact.,