Senior Executive EXL/SE/1454890
3 weeks ago
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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