Senior Machine Learning Engineer at AI CoE (f/m/d)

at  SAP

WE HELP THE WORLD RUN BETTER

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Summary:
We are looking for a Senior ML Engineering who can drive AI development and lead our engineering scrum teams as technical code and architecture owner. The candidate will have profound skills in Data Science, Data Engineering and Software Engineering for our IT agile team (Senior level), with an entrepreneurial spirit to join our diverse team and work on innovation projects.
Role:
In this role you drive, oversee and are responsible for the entire development lifecycle of an AI service, from Data Science PoC to productization and production operations. This requires skills and knowledge throughout the entire development lifecycle. You are very experienced with general software engineering best practices and enterprise-grade code development applied to an AI space. Concretely this means that next to having profound AI modeling expertise, you are exceptional at working with vast amounts of data in a Big Data setup, professional Data Engineering Pipeline development as well as model deployment/serving and CI/CD setup. To fully understand our stakeholders’ problems and challenges a solid business acumen is needed as well. As a development leader you can motivate and guide a scrum team through complex tasks with tight deadlines.

Responsibilities / Core Tasks:

• Lead develop AI services from PoC to Production
• Setup and develop new Big Data pipelines, to productize data ETL workloads for different AI services.
• Develop AI/ML models to solve real life business problems (this includes Data Science exploration phase as well as model productization)
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps.
• Take ownership over AI services in development and production
• Lead, guide and mentor junior colleagues and evolve their AI engineering skillset