Gen AI Data Scientist

The Gen AI Data Scientist will develop production-grade data pipelines, deployed models (recommendation, NLP, GenAI), and measurable outcomes. The role requires familiarity with ML frameworks and data engineering tools, microservices, CI/CD, and ML. The candidate will work on Machine Learning, NLP, Recommender systems, personalization, segmentation, microservice architecture, API development, and data engineering concepts like data lakes, columnar formats, ETL, and BI tools. 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.

4-9 years of experience with expertise in Machine Learning, NLP, Recommender systems, personalization, segmentation, microservice architecture, and API development. Familiarity with data engineering concepts like data lakes, columnar formats, ETL, and BI tools. Any Graduate qualification. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment. A collaborative mindset, willingness to mentor junior team members, and adaptability to changing business needs are highly valued for this role. Prior experience working in global delivery models, along with exposure to Agile methodologies, will be considered an added advantage.