Generative AI Expert - LLM

Hiring: GEN AI Expert for Allinaz . Responsibilities : - Design, develop, and fine-tune large language models (LLMs) using Hugging Face Transformers. - Implement and optimize model parallelism techniques for efficient training and inference. - Develop and deploy robust and scalable Gen AI applications. - Build and maintain datasets for model training and evaluation. - Design and implement ReAct (Reasoning & Acting) agents using LangChain and LangGraph. - Develop and integrate tools and APIs to enhance agent capabilities. - Optimize agent performance and ensure reliable decision-making. - Define and implement metrics for evaluating and validating AI/ML systems. - Conduct thorough testing and analysis to ensure model accuracy and reliability. - Implement Explainable AI (XAI) methods to provide insights into model behavior. - Develop and maintain documentation for model performance and evaluation results. - Collaborate with cross-functional teams to define project requirements and deliverables. - Provide technical guidance and expertise on Gen AI best practices. - Stay up-to-date with the latest advancements in Gen AI research and technologies. - Develop and maintain dynamic interface classes, middleware, and SDKs for other developers (Secondary Skill). - Apply OPEA (if applicable) to optimize AI/ML workflows and processes. - Design and develop dynamic interface classes, middleware, and SDKs to enable other developers to effectively utilize AI/ML models and services. Key Requirements : Primary Skills : - Hugging Face Transformers : 3 years of hands-on experience in using Hugging Face Transformers for developing and deploying LLMs. - LangChain (v0.2 & v0.3) : 1 year of experience in building applications using LangChain, including v0.2 and v0.3. - LangGraph : 1 year of experience in building complex AI workflows and agents using LangGraph. - PyTorch & TensorFlow : 2 years of experience in developing and training deep learning models using PyTorch and TensorFlow. - Explainable AI (XAI) Methods : 1 year of experience in implementing and applying XAI techniques to understand and interpret model behavior. - Model Parallelism : Must have a strong understanding and practical experience in implementing model parallelism techniques for efficient training and inference. - Gen AI Model Fine-Tuning : Proven experience in fine-tuning large language models for specific tasks and domains. - ReAct Agent Development : Demonstrated ability to build and deploy ReAct (Reasoning & Acting) agents using LangChain and LangGraph. - AI/ML System Evaluation : Experience in defining and implementing metrics for evaluating and validating AI/ML systems. Secondary Skills (Nice to Have) : - OPEA : Familiarity with OPEA and its application in optimizing AI/ML workflows. - Middleware & SDK Development : Experience in writing dynamic interface classes, middleware, and SDKs for developer use. Qualifications : - Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (preferred). - Proven track record of developing and deploying successful Gen AI solutions. - Strong understanding of deep learning algorithms and architectures. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Ability to work independently and as part of a team. (ref:hirist.tech)

Location: pune, IN

Posted Date: 4/19/2025