Data Scientist

1 day ago

Bengaluru Karnataka, India Prismforce Private Limited Full time

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: 1-4 Years

**_
Role Type : Contract 1 year_**

Key Responsibilities

Fine-tune LLMs using techniques like LoRA and QLoRA

Evaluate and improve RAG (Retrieval-Augmented Generation) pipelines for

groundedness, accuracy, and relevance

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

1-4 years of hands-on experience in Gen AI and NLP

Prior experience in startups or high-growth environments is a plus
- Technical SkillsDeep expertise in NLP techniques: text generation, sentiment analysis, NER, and language modelingHands-on experience with LLMs and RAG pipelinesProficiency in neural network frameworks: TensorFlow, PyTorchFamiliarity with transformer architecture and transfer learningFluency in at least one programming language: Python, R, or JuliaExperience with Gen AI libraries: Hugging Face, OpenAI, etc.Strong foundation in ML algorithms: supervised, unsupervised, reinforcement learning, Bayesian inferenceFine Tuning, Transfer Learning, Pytorch, TensorflowAnalytical

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