The Data & AI Solutions Analyst is an intermediate-level position responsible for the development of product plans, strategies, and tactics in coordination with the Product , Tech and analytics teams. The overall objective of this role is to coordinate the promotion, development, and deployment of data, analytics, and AI-driven products to create business value, drive adoption, increase market impact, and enhance Citi's competitive position. Key Responsibilities – * Design, Develop and deploy generative models (e.g., GPT, GAN, VAEs) for various applications. * RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements. * Collaborate with cross-functional team to understand business requirements and translate them into AI solutions. * Conduct research to advance the state-of-the art in generative modelling and stay up to date with latest advancements in the field. * Optimize and fine-tune models for performance, scalability, and robustness. * Implement and maintain AI pipelines and infrastructure to support model training and deployment. * Perform data analysis and preprocessing to ensure high-quality input for model training. * Implement and maintain AI pipelines and infrastructure to support model training and deployment. - Perform data analysis and preprocessing to ensure high-quality input for model training. * Mentor junior team members and provide technical guidance. * Write and maintain comprehensive documentation for models and algorithms. * Present findings and project progress to stakeholders and management. Qualifications – * Bachelor’s or Master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus. * 8+ years of experience in machine learning and deep learning, with a focus on generative models. * Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. * Experience with natural language processing (NLP) and natural language generation (NLG). * Proven track record of building and deploying generative models in production environments particularly using RAG frameworks. * Solid understanding of machine learning algorithms, data structures, and software engineering principles. * Excellent problem-solving skills and the ability to work independently and as part of a team. * Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Skills – * Experience with cloud platforms such as AWS, Google Cloud, or Azure. - Knowledge of reinforcement learning and its applications in generative AI. * Familiarity with MLOps practices and tools. * Contributions to open-source projects or published research in top-tier conferences/journals. \------------------------------------------------------ ## Job Family Group: Product Management and Development \------------------------------------------------------ ## Job Family: Product Management \------------------------------------------------------ ## Time Type: Full time \------------------------------------------------------ ## Most Relevant Skills Please see the requirements listed above. \------------------------------------------------------ ## Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. \------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.