Data Analyst / ML Engineer

Role Overview: The ML Solutions team within Markets OPS Technology at Citi is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. As a team, we focus on creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging an entrepreneurial spirit and technological excellence. Key Responsibilities: - Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. - Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Participate in research activities to explore and advance state-of-the-art generative AI techniques. - Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Qualifications Required: - 5-8 years of relevant experience in Machine Learning - Strong hands-on experience in delivering complex solutions to production - Experience with Generative AI technologies is essential - Knowledge of NLP, Name Entity Recognition - In-depth knowledge of deep learning and Generative AI frameworks such as Langchain, Lang Graph, Crew AI or similar - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices - Strong background in mathematics: linear algebra, probability, statistics, and optimization - Experience with evaluation, scoring with frameworks like ML Flow, Dagster, etc - Experience with Docker container and editing a Docker file, experience with K8s is a plus - Experience with Postgres and Vector DBs is a plus - Excellent problem-solving skills and the ability to think creatively - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus - Bachelors/Masters degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field (Note: The additional details of the company were not present in the Job Description) Role Overview: The ML Solutions team within Markets OPS Technology at Citi is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. As a team, we focus on creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging an entrepreneurial spirit and technological excellence. Key Responsibilities: - Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. - Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Participate in research activities to explore and advance state-of-the-art generative AI techniques. - Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Qualifications Required: - 5-8 years of relevant experience in Machine Learning - Strong hands-on experience in delivering complex solutions to production - Experience with Generative AI technologies is essential - Knowledge of NLP, Name Entity Recognition - In-depth knowledge of deep learning and Generative AI frameworks such as Langchain, Lang Graph, Crew AI or similar - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices - Strong background in mathematics: linear algebra, probability, statistics, and optimization - Experience with evaluation, scoring with frameworks like ML Flow, Dagster, etc - Experience with Docker container and editing a Docker file, experience with K8s is a plus - Experience with Postgres and Vector DBs is a plus - Excellent problem-solving skills and the ability to think creatively - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus - Bachelors/Masters degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field (Note: The additional details of the company were not present in the Job Description)