ML / LLM Engineer

In this role at GlobalLogic, you will be involved in implementing ML/AL/GenAI-powered applications for a multinational industrial conglomerate to enhance business efficiency. Your main responsibilities will include: - Train and fine-tune Large Language Models (LLMs) for various applications. - Implement and optimize Retrieval-Augmented Generation (RAG) architectures. - Work with vector databases like Pinecone to enhance data retrieval capabilities. - Develop and apply data science and machine learning techniques. - Collaborate with cross-functional teams to integrate LLMs into products. - Stay updated with the latest advancements in LLM and machine learning technologies. - Conduct experiments and analyze results to improve model performance. To qualify for this role, you should meet the following requirements: - 3+ years of experience in machine learning and natural language processing. - Proficiency in training and fine-tuning Large Language Models (LLMs). - Experience with RAG architectures and vector databases like Pinecone. - Bachelor's degree in Computer Science, Engineering, or equivalent. - Excellent problem-solving and analytical skills. - Demonstrated ability to conduct experiments and improve model performance. - Good command of English for effective communication with team members. - Knowledge of Pytorch, Pinecone, LLM fine-tuning, RAG, and vector databases. At GlobalLogic, you will benefit from: - A culture of caring that prioritizes people first. - Continuous learning and development opportunities. - Interesting and meaningful work that impacts clients globally. - Balance and flexibility in work-life integration. - A high-trust organization with integrity as a cornerstone value proposition. GlobalLogic is a Hitachi Group Company and a trusted digital engineering partner to leading companies worldwide. Since 2000, we have been driving the digital revolution by creating innovative digital products and experiences. As part of our team, you will contribute to transforming businesses and industries through intelligent products, platforms, and services.,