Technical MLOps Engineering Lead

Join SAP as a Technical MLOps Engineering Lead

About the Role

We are seeking a Technical MLOps Engineering Lead to pioneer the development and implementation of machine learning operations strategies within our Databricks and SAP AI Core environment. As an integral member of our team, you will spearhead the design, implementation, and optimization of MLOps processes, ensuring seamless integration between data science and production environments. Your role will also entail staying abreast of the latest industry trends and best practices in MLOps to continuously enhance the efficiency and effectiveness of machine learning operations within our agile teams.

Key Responsibilities

• Orchestrate a team of MLOps Engineers within our domain teams to enable and support MLOps activities.
• Design, implement, and optimize MLOps processes, ensuring seamless integration between data science and production environments.
• Adhere to security concepts and architecture best practices while driving the execution of processes according to industry standards.
• Evaluate and adopt emerging technologies to enhance MLOps capabilities and efficiency.
• Stay up-to-date with industry trends and innovations, assessing new solutions for their suitability in improving our MLOps workflows.

What You’ll Bring

• Master’s or Ph.D. in Computer Science, Machine Learning, or related field.
• Experience developing and deploying machine learning models in production environments.
• Excellent problem-solving skills, collaborative team spirit, and strong communication abilities.
• Solid understanding of AI/ML concepts, including MLOps, demonstrated through hands-on experience with tools like Kubeflow for effective orchestration and management of machine learning workflows.
• Proficiency in Azure Data Lake Storage (ADLS), Azure Databricks, and SAP Business Technology Platform (BTP) technology, including SAP AI Core.
• Hands-on experience with ML experiment tracking tools such as MLFlow or Weights & Biases, and knowledge of orchestration and workflow pipelines for MLOps (e.g., Metaflow).
• Fluency in Python, including libraries such as Numpy, Pandas, Keras, scikit-learn, TensorFlow, and PyTorch, with demonstrated experience in Python backend development (e.g., FastAPI, Postgres, OpenAPI).
• Proven expertise in DevOps best practices, including version control, testing, deployment, and monitoring for machine learning models in production, with experience implementing Git-based version control systems and CI/CD pipelines using tools like Jenkins and GitHub.
• Proficiency in Infrastructure as Code (IaC) tools such as Terraform, enabling efficient management and automation of infrastructure provisioning and configuration.

About The Team

The SAP CPIT Product, Data and Technology organization has the purpose to “Deliver and Run the Intelligent Enterprise”. CPIT is SAP’s technology backbone and most compelling reference customer, and as such, we influence SAP product development and strategy, with our customer experience at heart. To support the updated SAP AI Strategy and the company vision on Generative AI, we need to strengthen our team to accelerate delivery of Data & AI Cloud Solutions.

Why SAP?

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

Inclusion and Diversity

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.

SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities.