Data & AI Solutions Analyst - Assistant Vice President

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.