
Gen AI Data Scientist
7 days ago
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, ₹2,400,000.00 per year
Work Location: In person
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