Machine Learning Operations Engineer (MLOps)

Join SAP, a leader in enterprise software, to enhance global commerce. Enjoy a supportive work environment with great benefits and opportunities.

Tasks

• Build and maintain AI infrastructure and pipelines for customer support.
• Design CI/CD workflows for model training, deployment, and monitoring.
• Collaborate with engineers to operationalize AI models reliably., As a MLOps Engineer in Bellevue, you will join a new team dedicated to building and maintaining customer support related AI and agentic solutions that collaborate with thousands of SAP support engineers worldwide and that interact with all of SAP's customers as part of SAP's mission critical and daily customer support offerings in preventive, reactive and value-adding scenarios across SAP's product and support portfolio. Your team will be part of the AI & Support Engineering organization with a decade of experience delivering enterprise AI at scale.

In your role, you will:

• Build and maintain AI infrastructure and pipelines.
• Design CI/CD workflows for model training, evaluation, deployment, and monitoring.
• Automate model versioning, experiment tracking, and reproducibility practices.
• Collaborate with engineers to operationalize and serve models reliably.
• Manage the AI infrastructure stack, including GPU resources, orchestration, and serving frameworks.
• Optimize spend and resource utilization.
• Partner with security engineers to ensure solutions meet enterprise security, compliance, and availability standards.
• Establish MLOps best practices.
• Report on progress to leadership., For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

• 3+ years in MLOps or DevOps for AI systems, with cloud expertise.
• Proficiency in containerization and orchestration using Docker, Kubernetes.
• Solid scripting skills in Python and knowledge of CI/CD pipeline automation., * 3+ years of experience in MLOps, DevOps or platform engineering for ML or AI systems.
• Proficiency with containerization and orchestration (Docker, Kubernetes).
• Experience with ML lifecycle tooling (e.g. MLflow, Kubeflow).
• Hands-on knowledge of cloud platforms (Azure) and infrastructure-as-code (e.g. Terraform).
• Familiarity with LLM serving, inference optimization, and model-serving frameworks.
• Solid software engineering and scripting skills, particularly in Python.
• Understanding of monitoring, observability, and alerting for production systems.
• Experience building automated, reliable CI/CD pipelines.
• Knowledge of security and compliance requirements for enterprise software.
• Passion for AI with a keen sense for automation.
• Fluent in English.

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed., We build intelligent solutions for the customer support ecosystem from data to production. Our experienced engineers and data experts are known for their innovation culture. We use AI to help customers faster, smarter and more preventive. Bring out your best 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. We win with inclusion 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 world.