LLM Tuning Engineer

GlobalLogic is seeking an LLM Tuning Engineer to research, design, and implement NLP algorithms with a focus on fine-tuning large language models like BERT and GPT. The role involves developing custom fine-tuning strategies, collaborating with cross-functional teams, and analyzing experimental results to improve model performance. Candidates should have a strong background in NLP, deep learning, and proficiency in Python, TensorFlow, and PyTorch.

• Research, design, and implement pioneering NLP algorithms with a focus on fine-tuning LLMs, including BERT, GPT, and their variants
• Develop custom fine-tuning strategies and techniques to optimize performance on specific language tasks and domains
• Collaborate with cross-functional teams to integrate fine-tuned LLM solutions into products and services
• Stay up-to-date with the latest advancements in NLP, LLMs, and AI technologies, particularly in fine-tuning methodologies
• Analyze and interpret experimental results to guide decision-making and improve model performance
• Apply creative problem solving and inter-departmental networking to address data and information needs across the enterprise
• Share proven techniques with peers through coaching and mentoring
• Drive innovation by exploring new experimentation methods and statistical techniques

• Strong background in NLP, deep learning, and machine learning, with proven track record in fine-tuning LLMs