Gen AI Data Scientist

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
• 1–4 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, Tensorflow

Analytical & Communication Skills

• Strong math skills: statistics, linear algebra, probability
• Proven problem-solving aptitude with real-world application of Gen AI and NLP
• Excellent communication skills to translate complex technical concepts for non-technical stakeholders
• Collaborative mindset with the ability to work across teams

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹2,400,000.00 per year

Work Location: In person