Risk AI & Engineering - Senior Manager - Consulting - Location Open

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Tech Consulting, AI & Quantitative Modeling, Risk AI and Analytics Senior Manager EY delivers unparalleled cross functional tech consulting services in artificial intelligence, big data and cloud engineering. Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. The opportunity EY is significantly investing in their award-winning AI & Data practice. As a Risk AI & Analytics Senior Manager, you will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes, with a specific focus on risk consulting. Your Key Responsibilities Leading a team working with a wide variety of clients to define, develop and operationalize their AI strategy at scale, with a focus on risk consulting. Developing and executing a comprehensive AI Strategy that aligns with the client’s goals, mission and vision Leading teams of AI engineers and data scientists in delivery of modern Machine Learning and AI solutions for clients Staying abreast of AI technology trends and provide directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale Collaborating with diverse teams and stakeholders to implement and maintain solutions in the client’s platform of choice and or integrate AI solution into client’s ecosystem. Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe Understanding clients’ overall data, AI and technology landscape and business priorities and success measures Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote) Working on large-scale client engagements. Skills And Attributes For Success Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning Experience interacting with and designing solutions for internal audit, internal controls, compliance, and business processes Minimum of 8-10+ years of professional consulting experience in business or technology consulting or similar roles Minimum of 3-5+ years of experience directly managing technical teams and/or consulting teams Experience using and managing the deployment of Generative AI models and frameworks Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions. Experience with MLOps methods and platforms such as MLFlow. Strong skills in Python. Experience with CI/CD and test-driven development. What We Offer You We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. Join us in our team-led and leader-enabled hybrid model. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis.

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