Consultant AI Operationalization MLOps

Responsibilities

• Advise clients on the development and implementation of enterprise architectures for AI operationalization and MLOps.
• Build and maintain necessary platforms as part of an MLOps team to support Data Scientists.
• Communicate project progress and technical updates to client-side stakeholders.
• Contribute to internal initiatives, client proposals, and professional presentations.
• Lead teams of Data Scientists, ML Engineers, and DevOps Engineers (for experienced professionals).

Requirements

• Degree in Computer Science, Business Informatics, Industrial Engineering, or a comparable field.
• Strong knowledge of machine learning lifecycle architectures, ensuring robustness and scalability.
• Experience with cloud or on-premises enterprise architectures.
• For experienced candidates: Proven track record in leading Machine Learning projects.
• An agile mindset, curiosity, and a team-oriented approach to problem-solving.

Benefits

• Work in high-performing, interdisciplinary teams using innovative technologies.
• Flexible and inclusive working environment that supports diverse life situations.
• Extensive training and development opportunities, both on-the-job and off-the-job.
• A steep learning curve within a global professional network.

About the Company

EY is a global leader in professional services, dedicated to building a better working world. With a network of approximately 400,000 employees worldwide, we provide diverse opportunities for specialists to grow, specialize, and create sustainable value for our clients and society.