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!