Machine Learning Engineer

Job Description

We help the world run better
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 are seeking a highly skilled and motivated Machine Learning Engineer to join our team. In this role, you will help maximize cloud efficiency, reduce operational costs, and maintain high standards of service quality through innovative, data-driven solutions. The position involves designing and deploying advanced machine learning (ML) and deep learning (DL) models, conducting rigorous experimentation, and translating analytical insights into impactful business outcomes.

Moving beyond experimentation, the focus is on building scalable AI products and ensuring their seamless integration into production environments. We are looking for an experienced developer who treats “AI as Software” - prioritizing clean code, system reliability, and the tangible business impact of deployed intelligent agents.

What You’ll Build:

• Engineering Collaboration: Collaborate closely with the GCID CCDE Engineering team to design, develop, and optimize ML/DL models tailored for complex, high-impact enterprise challenges.
• Core Data Science: Conduct rigorous data exploration and feature engineering. Develop and train models for diverse tasks, with a primary focus on Time Series Forecasting and Anomaly Detection to drive proactive cloud management.
• Agentic AI Development: Design and implement Agentic AI capabilities, including "Agent of Agents" frameworks. Focus on orchestrating intelligent workflows that automate resource optimization, cost forecasting, and autonomous decision-making.
• Production-Grade Pipelines: Develop, test, and validate end-to-end model pipelines. You are responsible for ensuring that these pipelines are not just accurate, but also robust, scalable, and ready for production deployment.
• Lifecycle Documentation: Document methodologies, experiments, and results with a focus on reproducibility and software best practices to facilitate continuous improvement within the engineering team.
• Cross-Functional Integration: Partner with engineering and product teams to integrate AI models and agent-based systems into cloud-native environments, transforming analytical insights into functional products that enhance operational efficiency.

What you bring:

Education & Experience:

• Master’s degree in Computer Science, Machine Learning, Data Analytics, or a related technical field is preferred.
• 3+ years of hands-on experience in data analysis, ML/DL modeling, and applied software development.

Technical Skills:

• Exceptional Python skills with an emphasis on writing clean, maintainable, and efficient code. Solid SQL skills for complex data retrieval.
• ML/DL Frameworks: Proven experience with frameworks like PyTorch or TensorFlow.
• Software Foundations: Solid understanding of MLOps practices, and the ability to build/consume APIs.
• Practical experience in time series forecasting and anomaly detection for operational monitoring.
• Exposure to Large Language Models (LLMs) and AI Agent frameworks (e.g., prompt design, orchestration, or tool-calling).

Preferred Experience (Nice to Have):

• Understanding of cloud computing environments (AWS, Azure, or GCP) and cloud resource optimization.
• Familiarity with SAP systems or enterprise data landscapes.
• Excellent communication, analytical thinking, and problem-solving abilities. Proven capability to work both independently and collaboratively in a dynamic team environment.

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.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

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.

Requisition ID: 453375 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid