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Senior Executive

Senior Executive

EXL

2 years

0 Lacs

noida uttar pradesh india

Posted:22 hours ago| Platform:

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Skills Required

data ai cutting strategies engineering research prototype design retrieval consistency model docker aws azure metrics documentation evaluation optimization gcp rest communication git fastapi flask monitoring mathematics

Work Mode

On-site

Job Type

Full Time

Job Description

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!

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