Machine Learning DevOPS Engineer For Cloud Products Framework GroupAs a Machine Learning DevOPS Engineer for Cloud Products Framework group within our Infrastructure & Cloud team, you will play a crucial role in evangelizing and developing cloud product strategies, solutions, and best practices across the organization primarily to support machine learning capabilities. You will leverage your expertise to ensure strategic alignment, foster innovation, and drive the adoption of cutting-edge cloud technologies. Your leadership and vision will empower developers within LSEG to achieve seamless and efficient cloud infrastructure deployments, ensuring robust, secure and scalable cloud solutions.What you'll be doing:Demonstrates an extensive knowledge of technologies and/or thought leadership level of a technology, providing direction, mentoring and advising others on design, development and / or implementation best practice and processesCreates and implements technical solution designs and resolves issuesContinues to build and demonstrates a breadth of knowledge of various domains within technology, understanding the linkages and dependencies of projects/work and the key senior stakeholdersSupports technical roadmaps for the timely implementation of a technical solution strategyDevelop technical strategy and research to enhance and scale machine learning related cloud product capabilities on Azure and AWSDesign, build, and/or deliver ML models and components that tackle internal use casesInform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, and validation.Evaluates how new technology or techniques may better implement the strategy, proposes patterns for its use and leads the development of reference code to set a standardBuilds strong relationships with internal and external customers, growing own network and collaborating with other teams.Communicates complex / technical information clearly and concisely in an audience appropriate format.What you'll bring:Must have a degree in Computer Science Engineering or equivalent work experienceSolid understanding of IAC conceptsExperience with Azure and AWS cloud platformExperience in leading or developing ML solutionsExperience in DevOps practices, especially in machine learning model deployment.Hands-on experience with CI/CD pipelines, code scanning tools, secrets management, Docker, and programming languages (Java/JavaScript, C#, Python)Experience on any one of - GitHub, GitLabDeep understanding of architecture principles and design methodologiesProven ability to adapt to new technologies and learn quicklyGood communication skills and presentation skillsExperience in Agile/Scrum methodology