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.

Job Title, Summary & Role Information:

• Develop and execute comprehensive test plans and test cases to validate the performance, accuracy, and reliability of AI/ML models and algorithms.
• Collaborate with data scientists to establish data quality standards and processes, ensuring the integrity and consistency of training and validation datasets.
• Conduct performance testing and analysis to evaluate the scalability and efficiency of AI/ML systems
• Implement automated testing frameworks and tools to support continuous integration and regression/integration testing of AI/ML models and pipelines.
• Design and implement techniques for generating test data for training AI/ML to test more specific use cases for better fine-tuning of the AI/ML models.
• Design and implement techniques for anomaly detection and error analysis to identify and troubleshoot issues in AI/ML outputs.
• Document test procedures, findings, and results in a clear and concise manner, and communicate findings to stakeholders across the organization.
• Stay up-to-date with the latest advancements in AI/ML technologies, testing methodologies, and industry best practices, and proactively identify opportunities for process improvement.

Experience (Role Requirements):

• Bachelors/Masters in Computer Science or related fields
• 4-8 years of experience in Software Testing
• Solid understanding of software testing principles, methodologies, and techniques. ï Proficiency in programming languages such as Python, Java, or C++.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues in AI/ML systems.
• Experience with writing automation tests with libraries like RestAssured or other libraries.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Prior experience in quality engineering or software development in an AI/ML environment is preferred. Good communication skills, team player and self-driven

About the team / Brand / Line of Business:

DPP Engineeringî team works on one of the most strategic topic which is Data Privacy and Protection (DPP) reuse services in SAP Business Technology Platform (BTP).These services help manage different data privacy regulations like the EU GDPR.

​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 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. 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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 396397  | Work Area: Software-Quality Assurance  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.