Data Scientist

We are seeking a Data Scientist with 3–6 years of experience to design, build, and deploy GenAI and LLM-powered solutions. The role combines applied ML, prompt engineering, and MLOps to deliver scalable, production-grade AI systems. Key Responsibilities Develop and deploy LLM-based applications (RAG, chatbots, copilots, summarization, search) Fine-tune, evaluate, and optimize LLMs and transformer models Design prompt engineering strategies and guardrails for safe, reliable outputs Build retrieval pipelines using vector databases (FAISS, Pinecone, etc.) Implement end-to-end ML pipelines (data → model → deployment → monitoring) Collaborate with engineering teams to integrate models via APIs and microservices Monitor model performance, drift, and costs; implement feedback loops Ensure responsible AI practices (bias mitigation, explainability, governance) Required Skills & Qualifications 3–6 years of experience in Data Science / ML Engineering / Applied AI Strong programming in Python Hands-on experience with LLMs (OpenAI, Azure OpenAI, etc.) Experience with transformers, embeddings, and NLP pipelines Familiarity with RAG architectures and vector search Solid foundation in ML algorithms, statistics, and evaluation metrics Strong SQL and data handling skills MLOps & Engineering Skills Experience with model deployment (FastAPI, Flask, Docker, Kubernetes) Exposure to CI/CD pipelines for ML (GitHub Actions, Azure ML, SageMaker, etc.) Experience in model monitoring, logging, and versioning (MLflow, Weights & Biases) Knowledge of data pipelines (Airflow, Spark) Familiarity with cloud platforms (AWS, Azure, or GCP) Preferred Qualifications Experience fine-tuning LLMs (LoRA, PEFT techniques) Exposure to multi-modal models (text + image/audio) Knowledge of AI safety, hallucination mitigation, and evaluation frameworks Domain experience in enterprise use cases (support, search, analytics, automation) Soft Skills Strong problem-solving and experimental mindset Ability to translate ambiguous business problems into AI solutions Excellent communication with technical & non-technical stakeholders Education Bachelor's or Master's in Computer Science, AI, Data Science, Statistics, or a related field