Lead Data Scientist (GEN AI)

We are looking for a Lead Data Scientist to spearhead AI/ML initiatives and lead a team of data scientists. This role requires deep expertise in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI (LLMs), along with strong leadership skills to mentor talent and deliver production-ready solutions that drive business impact. As a Lead Data Scientist, you will manage a high-performing data science team, oversee end-to-end AI solution development, and collaborate with product, engineering, and business teams. You will combine hands-on technical expertise with leadership to ensure the timely and successful delivery of projects across diverse domains, including LLMs, Computer Vision, NLP, and Gen AI.

Responsibilities:

• Lead the design, development, and deployment of advanced AI/ML solutions.
• Provide technical guidance and mentorship to senior/junior data scientists.
• Collaborate with cross-functional stakeholders to identify business opportunities and define AI strategies.
• Manage the complete lifecycle of AI projects - data preparation, model development, validation, deployment, and monitoring.
• Drive applied research and innovation in LLMs, Generative AI, Prompt Engineering, RAG, Vector DBs, and Agentic AI.
• Ensure solutions are scalable, reliable, and compliant with performance and governance standards.
• Establish best practices, frameworks, and accelerators for repeatable AI solution delivery.
• Represent the data science function in strategic discussions with leadership and clients.

Requirements:

• 6-10 years of overall experience in Data Science/AI, with at least 2+ years in a team leadership or mentorship role.
• Strong proficiency in Python, SQL, PyTorch, TensorFlow, Hugging Face, and Langchain.
• Expertise in: Machine Learning & Deep Learning(ANN, CNN, RNN, Transformers).
• Natural Language Processing & Generative AI(LLMs, Prompt Engineering, RAG, Document AI).
• Computer Vision(Object Detection, OCR, Segmentation, Vision Transformers).
• Experience with cloud platforms(AWS, Azure, GCP) and containerization tools (Docker).
• Hands-on experience in delivering production-grade AI systems.
• Strong stakeholder management, communication, and problem-solving skills.
• Exposure to BFSI, Telecom, or SaaS domains.
• Experience with ETL, Spark, and Databricks data engineering workflows.
• Contributions to open-source AI/ML projects or published research.
• Startup/innovation experience in building AI-first products.