Senior Data Scientist – GenAI
Posted Updated
Description
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, TensorFlow, PyTorch, 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