4423237-Senior Executive

EXL; Dadri; On-site; INR 600,000 - 1,200,000; Full time

Job summary

EXL is seeking a Data Scientist (GenAI) with 0–2 years of experience to prototype, finetune, and deploy GenAI models using LLMs and VLMs in real-world use cases.

You will collaborate with product, engineering, and research teams; design prompting strategies, build scalable pipelines with Docker and cloud platforms (AWS/GCP/Azure), and work on multimodal AI workflows including STT/TTS, while documenting results in English. This role requires clear communication and rigorous evaluation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science / AI / Data Science / Engineering / Mathematics or equivalent
• Experience with GenAI frameworks (vLLM, Transformers, PEFT, LoRA, QLoRA)
• Strong English communication and problem-solving skills

Responsibilities

• Design and develop GenAI systems using prompt engineering, retrieval-augmented generation (RAG), and finetuning of LLMs/VLMs
• Build, evaluate, and improve prompting techniques (zero-shot, few-shot, chain-of-thought, self-consistency, etc.)
• Develop and maintain scalable model pipelines using Docker and cloud platforms (AWS, Azure, GCP)
• Work on multimodal AI workflows including Speech-to-Text (STT) and Text-to-Speech (TTS)
• Conduct research experiments, run ablations, evaluate metrics, and help ship GenAI features to production
• Collaborate cross-functionally with stakeholders to translate product ideas into PoCs and production models
• Create high-quality documentation and communicate technical results effectively in English

Skills

LLM/VLM finetuning

Prompt optimization

Model evaluation

AWS/GCP/Azure deployment

Docker

REST APIs

English communication

Education

Bachelor’s or Master’s degree in CS/AI/DS/Engineering/Math

Tools

vLLM

Transformers

PEFT

LoRA

QLoRA

Job description

Job Description – Data Scientist (GenAI – 0–2 Years Experience)

We are seeking a highly driven Data Scientist – Generative AI with 0–2 years of experience, who is passionate about building state-of-the-art AI solutions using LLMs, VLMs, and cutting-edge prompting strategies. You will work closely with our product, engineering, and research teams to prototype, finetune, and deploy GenAI models for real-world use-cases.

Responsibilities

• Design and develop GenAI systems using prompt engineering, retrieval-augmented generation (RAG), and finetuning of LLMs/VLMs
• Build, evaluate, and improve prompting techniques (zero-shot, few-shot, chain-of-thought, self-consistency, etc.)
• Develop and maintain scalable model pipelines using Docker and cloud platforms (AWS, Azure, GCP)
• Work on multimodal AI workflows including Speech-to-Text (STT) and Text-to-Speech (TTS)
• Conduct research experiments, run ablations, evaluate metrics, and help ship GenAI features to production
• Collaborate cross-functionally with stakeholders to translate product ideas into PoCs and production models
• Create high-quality documentation and communicate technical results effectively in English

Required Skills

• Hands-on with ;LLM/VLM finetuning, model evaluation, and prompt optimization
• Familiarity with GenAI frameworks (vLLM, Transformers, PEFT, LoRA, QLoRA)
• Experience deploying solutions on AWS / GCP / Azure
• Working knowledge of Docker, REST APIs, and microservice-based environments
• Proficient in English language and critical reasoning
• Excellent analytical, problem-solving, and written communication skills with willingness to learn

Good to Have

• Exposure to STT / TTS systems (Whisper, Deepgram, ElevenLabs, Polly, Azure Speech)
• Familiarity with vector databases (FAISS, Pinecone, Qdrant, Weaviate) and RAG pipelines
• Experience with MLOps, Git, CI/CD, FastAPI / Flask, and monitoring tools
• Understanding of attention mechanism, what happens beneath wrappers like langchain
• Publications, hackathons, or open-source contributions in GenAI/NLP domains

Educational Background

• Bachelor’s or Master’s degree in Computer Science / AI / Data Science / Engineering / Mathematics or equivalent

If you are excited about pushing the boundaries of what Generative AI can do, and want to grow in a fast-paced environment, we’d love to hear from you!