4423237-Senior Executive

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.ResponsibilitiesDesign and develop GenAI systems using prompt engineering, retrieval-augmented generation (RAG), and finetuning of LLMs/VLMsBuild, 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 productionCollaborate cross-functionally with stakeholders to translate product ideas into PoCs and production modelsCreate high-quality documentation and communicate technical results effectively in EnglishRequired SkillsHands-on with ;LLM/VLM finetuning, model evaluation, and prompt optimizationFamiliarity with GenAI frameworks (vLLM, Transformers, PEFT, LoRA, QLoRA)Experience deploying solutions on AWS / GCP / AzureWorking knowledge of Docker, REST APIs, and microservice-based environmentsProficient in English language and critical reasoningExcellent analytical, problem-solving, and written communication skills with willingness to learnGood to HaveExposure to STT / TTS systems (Whisper, Deepgram, ElevenLabs, Polly, Azure Speech)Familiarity with vector databases (FAISS, Pinecone, Qdrant, Weaviate) and RAG pipelinesExperience with MLOps, Git, CI/CD, FastAPI / Flask, and monitoring toolsUnderstanding of attention mechanism, what happens beneath wrappers like langchainPublications, hackathons, or open-source contributions in GenAI/NLP domainsEducational BackgroundBachelor’s or Master’s degree in Computer Science / AI / Data Science / Engineering / Mathematics or equivalentIf 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!