Data Scientist (GenAI)

The Data Scientist will develop AI applications using state-of-the-art GenAI technology, translate business requests into AI applications, pilot prototypes in production processes, deploy prototypes to production to obtain reliable, scalable systems, present results clearly and discuss with multi-functional project teams, and work in close collaboration with business experts. 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. This position also offers exposure to enterprise-wide analytics transformation programs and the chance to influence strategic decision-making at a senior level. The team fosters an inclusive, growth-oriented culture where continuous learning and knowledge sharing are actively encouraged across all levels.

7-9 years of experience with strong expertise in Python, state-of-the-art AI and statistical methods, and deploying scalable AI applications to production. Experience using LLMs and libraries like Langchain and Llamaindex. Hands-on experience with Azure Cloud and Azure Data AI services. Strong expertise with version control and CI/CD pipelines. Bachelor of Engineering required. 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.