Assistant Manager

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!