Expert Data Scientist

The Expert Data Scientist will provide technical leadership in the design, development, and deployment of transformational AI solutions. Responsibilities include leading end-to-end delivery of enterprise AI/ML solutions, designing advanced AI systems including Generative AI and agentic AI workflows, architecting scalable AI platforms leveraging MLOps best practices, applying advanced data science and machine learning techniques, translating complex business problems into AI-driven solutions, providing deep technical leadership across model architecture and feature engineering, mentoring data scientists, and ensuring solutions meet enterprise standards for scalability, security, and governance. The role provides exposure to enterprise-scale data ecosystems, offering opportunities for professional growth while working alongside experienced data scientists and cross-functional technology teams.

Master's or PhD in Data Science, Computer Science, AI, Applied Mathematics, Statistics, Engineering, or related disciplines with 8+ years of industry experience developing and scaling enterprise-grade AI/ML solutions. Expertise in Generative AI, LLMs, agentic AI, NLP, time-series forecasting, or computer vision. Strong Python, PyTorch, TensorFlow, and cloud platform skills. Any Graduate or Any Postgraduate. Excellent verbal and written communication skills are essential, along with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment.