Data Scientist - Contract

Role Overview: As a Generative AI Engineer at Prismforce, you will be responsible for working on cutting-edge NLP and ML projects. By leveraging large language models (LLMs) and advanced deep learning techniques, you will play a crucial role in solving complex business challenges. Your role will involve fine-tuning LLMs, evaluating and improving RAG (Retrieval-Augmented Generation) pipelines, applying transfer learning and transformer architectures, validating model accuracy, collaborating with product teams, contributing innovative ideas, and maintaining an experimental mindset. Key Responsibilities: - Fine-tune LLMs using techniques like LoRA and QLoRA - Evaluate and improve RAG 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 optimize machine learning and deep learning models, including NLP solutions Qualifications Required: - Bachelors degree in a quantitative field (Computer Science, Engineering, Physics, Mathematics, Operations Research) or equivalent experience - 1-4 years of hands-on experience in Generative AI and NLP - Prior experience in startups or high-growth environments is a plus Additional Details: Prismforce is a Vertical SaaS company focused on revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Their AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. The company's mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide.,