Senior Data Scientist – GenAI

We are seeking a Senior Data Scientist – GenAI to lead the design, development, and deployment of advanced AI and Generative AI solutions. This is a customer-facing leadership role requiring deep hands-on expertise across the entire AI lifecycle, from data engineering and model development to production deployment and team leadership.

Key Responsibilities

Lead end-to-end GenAI solution development from data preprocessing to production deployment Design and implement LLM, VLM, RAG, and Agentic AI systems Build and optimize ML/DL models using modern and core techniques Apply NLP, Transformers, and prompt engineering for enterprise use cases Deploy scalable AI solutions using FastAPI/Flask with cloud infrastructure Implement MLOps best practices including CI/CD, Docker, and monitoring Drive predictive analytics use cases including time series and forecasting Collaborate with customers and stakeholders to translate business needs into AI solutions Lead, mentor, and manage high-performing data science teams Requirements 10–15 years of experience in Data Science with strong focus on GenAI Hands-on expertise in Python, Tensor.

Flow, Py. Torch, and Keras Strong experience with LLMs, RAG pipelines, and Agentic AI architectures Solid understanding of ML, DL, NLP, Transformers, and Computer Vision (CNNs) Experience in production ML, MLOps, and cloud deployment (AWS / Azure) Exposure to data engineering platforms such as Azure, ADF, and Data-bricks Proven experience in customer-facing roles and team handling Excellent communication skills; grounded, delivery-driven mindset