Location: Anywhere in Country
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AI & Data - Physical AI Engineering & Strategy - Senior Manager
Join our dynamic team where innovation meets technology! As a leader in the field of artificial intelligence, we are dedicated to pushing the boundaries of what's possible. Our team thrives on collaboration, creativity, and a commitment to excellence. We are looking for a Senior Manager in AI Native Engineering to join us in transforming data into actionable insights and scalable solutions.
EY delivers unparalleled cross functional tech consulting services in artificial intelligence, autonomous systems and modeling and simulation. We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. Join us in shaping the future of AI and robotics.
The opportunity
EY is significantly investing in their award-winning AI & Data practice. You will help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes. You will work with a wide variety of clients to harness the power of Physical AI and robotics to achieve their strategic goals. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, modelling, and engineering. We'll look to you to provide consulting services to ensure physical AI solutions are properly engineered and maintained to support the ongoing business needs of our clients.
This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. We are looking for leaders at the intersection of Artificial Intelligence strategy and the scaling of physical robotics and autonomous systems capabilities.
In our Data and Decision Science practice, this role is pivotal in driving the development and implementation of cutting-edge AI systems. You will be at the forefront of enhancing data pipelines and ensuring the integrity of data for optimal performance. Your expertise will help shape the future of AI solutions across various environments, including cloud and on-premises.
As a Senior Manager, you will be responsible for researching, building, and implementing scalable artificial intelligence systems that meet diverse business requirements. Key responsibilities include:
Enhancing data pipelines and storage to ensure data is clean, accurate, and optimized.
Monitoring and optimizing learning processes to improve high-performance models.
Collaborating with data and analytics professionals to industrialize analysis into actionable solutions.
Your key responsibilities
In this role, you will manage complex processes and projects while maintaining a focus on quality and risk management. You will lead teams to achieve performance objectives and provide deep insights into best practices for solving complex problems. This position requires regular travel to engage with clients and manage relationships effectively.
Key responsibilities include:
Leading engagement delivery and managing client relationships daily.
Accountable for program/project management and engagement economics.
Developing resource plans and budgets for engagements.
Leading a team working with a wide variety of clients to define, develop and operationalize their physical AI strategy at scale.
Skills and attributes for success
To excel in this role, you will need a blend of technical and business skills. Your ability to build and manage relationships will be crucial in driving client trust and value.
Developing and executing a comprehensive physical AI Strategy that aligns with the client's goals, mission and vision
Leading teams of Physical AI engineers and data scientists in delivery of modern robotics and autonomous systems solutions for clients
Staying abreast of physical AI technology trends and provide directional guidance and recommendations around robotic platforms, sensing, and software tools and solutions that fit their needs and integrate with their existing ecosystem
Applying combined business and technical knowledge to develop and execute target architecture that enables implementation and monitoring of Physical AI at scale
Collaborating with Data Scientists, Mechanical Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain solutions in the client's platform of choice
Staying abreast of industry trends, technology innovations and regulatory requirements across the globe
Understanding clients' overall physical environment, 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. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
Collaborating, influencing and building consensus through constructive relationships and effective listening
Solving problems by incorporating data into decision making
Strong computational thinking and programming skills.
Proficiency in deep learning, machine learning, and data architecture design.
Experience with cloud computing and technical design optimization.
Excellent communication skills with the ability to influence and negotiate effectively.
To qualify for the role, you must have
Bachelor's degree required; Master's degree preferred. Focused on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Typically, no less than 5 - 7 years of relevant experience.
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 in robotics and autonomous systems controls, sensing, modeling and simulation, e.g., NVIDIA Omniverse, Cosmos, Isaac, Jetson, Unity, ROS, ROS 2, Matlab and Simulink, OpenCV, RobotStudio
Experience with a variety of robotic platforms, e.g., humanoid, quadruped, wheeled, aerial
Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
Experience with ML development methods and platforms such as TensorFlow, PyTorch, MLFlow.
Strong skills in Python.
Experience with CI/CD and test-driven development.
Experience designing, building, and maintaining ML models, frameworks, and pipelines.
Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
Understanding of data structures, data modelling and software engineering best practices.
Proficiency using data manipulation
