Senior Executive

6 days ago

Noida, Uttar Pradesh, India EXL Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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

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