Data Scientist – ML / GenAI / LLM

Cognizant is seeking an experienced Data Scientist to develop and productionize machine learning, Generative AI, and large language model solutions. The role covers the full ML lifecycle, including problem formulation, model development, evaluation, deployment, optimization, monitoring, and collaboration with engineering, product, data, and business teams.

Responsibilities:

• Design, develop, and implement advanced Machine Learning and Data Science solutions for complex business problems
• Build, train, evaluate, and optimize ML models using structured and unstructured data
• Develop Generative AI and LLM-based applications, including conversational AI, knowledge assistants, summarization, information extraction, and other enterprise AI use cases
• Work with pre-trained LLMs and apply techniques such as prompt engineering, RAG, fine-tuning, and model evaluation
• Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging enterprise data sources
• Build robust data and ML pipelines to support model training, inference, and production deployment
• Apply strong MLE principles to ensure models and AI applications are scalable, reliable, maintainable, and production-ready
• Develop solutions using Python and commonly used ML/AI frameworks and libraries
• Experiment with different models, architectures, prompts, retrieval strategies, and evaluation techniques to improve solution quality
• Implement appropriate LLM evaluation and monitoring approaches for accuracy, relevance, reliability, and performance
• Collaborate with engineering, product, data, and business teams to translate business requirements into AI/ML solutions
• Stay current with evolving developments in Generative AI, LLMs, Machine Learning, and MLOps