Data Scientist - LLM Training and Fine Tuning

Responsibilities

• Fine-tune LLMs using techniques like LoRA and QLoRA.
• Evaluate and improve RAG (Retrieval-Augmented Generation) pipelines for groundedness, accuracy, and relevance.
• Apply transfer learning and transformer architectures in model development.
• Validate model accuracy and performance using appropriate metrics.
• Collaborate with product teams and communicate insights to senior leadership.
• Participate in problem-solving sessions and contribute innovative ideas.
• Maintain an experimental mindset and continuously explore new approaches.
• Identify and integrate relevant data sources to build meaningful datasets.
• Automate data collection and preprocessing for structured and unstructured data.
• Handle large-scale data to feed analytical and predictive models.
• Build and optimise machine learning and deep learning models, including NLP solutions.

Requirements

• Bachelor's degree in a quantitative field (Computer Science, Engineering, Physics, Mathematics, Operations Research) or equivalent experience.
• 3-5 years of hands-on experience in Gen AI and NLP.
• Prior experience in startups or high-growth environments is a plus.

This job was posted by Shivali Kaul from Prismforce.