Principal Data Scientist - GenAI

Overview

About the job:

Key responsibilities:

1. Lead the roadmap for Generative AI (GenAI) solutions across product and platform teams.
2. Architect and optimise RAG pipelines (retrieval, embeddings, hybrid search, re-ranking, caching, latency-cost tradeoffs).
3. Establish robust evaluation frameworks (automatic + human-in-the-loop) to measure LLM outputs on factuality, reasoning, hallucinations, coverage, and safety.
4. Lead research and applied innovation around foundation model fine-tuning (instruction tuning, LoRA, adapters, PEFT, multi-task fine-tuning).
5. Mentor senior scientists/engineers, setting standards for model development, experimentation, and research rigour.
6. Partner with Product, Engineering, and Business stakeholders to deliver AI systems with measurable business impact.

Who can apply:

Only those candidates can apply who:

1. have minimum 8 years of experience

Salary:

Competitive salary

Experience:

8 year(s)

Deadline:

2025-09-26 23:59:59

Skills required:

Python, Data Science, TensorFlow, PyTorch, Generative AI Tools and LLMOps

Other Requirements:

- Bachelor’s or higher degree in a quantitative discipline (Computer Science, Statistics, Engineering, Applied Mathematics).

- Minimum 8+ years of experience.

- Startup experience preferred; EdTech work experience is a plus.

- Deep understanding of foundational LLMs (architectures, tokenization, pre-training vs. fine-tuning, context window optimization).

- Strong experience with RAG systems (vector DBs, hybrid retrieval, embeddings, and ranking models).

- Proven ability to design and implement evaluation pipelines (truthfulness, reasoning quality, safety, alignment).

- Hands-on expertise in fine-tuning approaches: instruction tuning, LoRA, PEFT, model merging, distillation, and prompt tuning.

- Strong background in representation learning, transformers, IR/retrieval models, and embeddings.

- Proficiency in Python, PyTorch/TensorFlow, and production ML pipelines.

- Experience with MLOps practices: model serving, monitoring, and observability for LLM systems.

About Company:

Physics Wallah (PW), founded in 2016, is one of India’s fastest-growing edtech companies. In 2025, it served over 15 million students through its digital learning platforms and offline Vidyapeeth centers in more than 100 cities. The company offers affordable online and offline coaching for competitive exams, including JEE, NEET, UPSC, SSC, and GATE. It also caters to state-level competitive exams, along with school curriculum support (1st to 8th class), skill development, and upskilling courses through its PW Skills platform. Its ecosystem includes subsidiaries and verticals like PW Vidyapeeth (offline coaching centers), PW Pathshala (hybrid learning), and PW Skills (professional and technical training).