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

Required Skills & Qualifications:

• 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 Databricks
• Proven experience in customer-facing roles and team handling
• Excellent communication skills; grounded, delivery-driven mindset