Generative ai Data Scientist I / II

Job Description

About Prismforce Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide. We?re looking for a passionate and curious Generative AI Engineer to join our team in Bangalore. You?ll work on cutting-edge NLP and ML projects, leveraging large language models (LLMs) and advanced deep learning techniques to solve complex business challenges. Job Description Role: Gen AI Engineering Reporting to: Data Scientist Location: Bangalore Exp: 3-5 Years Key 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 optimize machine learning and deep learning models, including NLP solutions Requirements Education & Experience ? 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 Technical Skills ? Deep expertise in NLP techniques: text generation, sentiment analysis, NER, and language modeling ? Hands-on experience with LLMs and RAG pipelines ? Proficiency in neural network frameworks: TensorFlow, PyTorch ? Familiarity with transformer architecture and transfer learning ? Fluency in at least one programming language: Python, R, or Julia ? Experience with Gen AI libraries: Hugging Face, OpenAI, etc. ? Strong foundation in ML algorithms: supervised, unsupervised, reinforcement learning, Bayesian inference ? Fine Tuning, Transfer Learning, Pytorch, TensorflowAnalytical