Senior Executive

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/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 English

Required SkillsHands-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 reasoningExcellent analytical, problem-solving, and written communication skills with willingness to learn

Good to HaveExposure 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 toolsUnderstanding of attention mechanism, what happens beneath wrappers like langchain

Publications, hackathons, or open-source contributions in GenAI/NLP domainsEducational 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!