Data Scientist - Contract

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.,