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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. What you'll build Work with a team of data scientists, data, MLOps, and AI engineers on ML models and AI Agents at all stages of development: Data exploration, model training, model fine-tuning and optimization, productive deployment, testing and monitoring Communicate with stakeholders to understand business processes and model input data Support a high-visibility AI project along experienced data scientists and AI developers Learn about applying data-centric AI development practices Work with a modern cloud stack (SAP BTP, Hyperscaler offerings) What you bring Master Student (f/m/d) at a university or a university of applied sciences Must have: Bachelor’s Degree in Data Science or related fields Proficiency in Python and at least one other programming/scripting language (e.g. Java, Scala) Experience in one or multiple machine learning frameworks (e.g. sklearn, pytorch, tensorflow, keras, MLLib) or agentic AI frameworks (e.g. LangGraph) Good understanding of statistical methods (descriptive analyses, regression modeling, etc.) and model quality assessment (custom metrics, creation of validation sets, etc.) Strong oral and written communication skills in English General interest in applied machine learning or agentic AI to solve business problems Experience working with complex tabular data (preprocessing, solving data leakage problems, imbalanced data problems) Nice to have: Experience with explainability and interpretability of machine learning models (SHAP, glass-box models) Experience with Deep Learning architectures (e.g. transformers) Knowledgeable on large scale data analysis with spark Experience with CI/CD frameworks (e.g. Jenkins, Concourse, Gitlab CI/CD) Experience with MLOps tools (e.g., mlflow) Working from the office is not required Where you belong SAP’s Enterprise AI Center of Excellence, our tech powerhouse and internal trailblazer. Our unit leads the enterprise transformation by embedding AI into business processes, powered by high-quality data and next-gen search architecture. We do this by designing, developing and operating AI platforms, custom solutions, and digital assistants that simplify work across SAP and deliver business value. We work in agile, autonomous teams with a culture of trust, creativity, and continuous learning. If you're passionate about AI and want to help shape the future of enterprise technology—this is the place to be. Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages. This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers. #Workingstudent #Werkstudent #Germany #Deutschland #Student #LIHybrid #SAPGermanStudentsCareers #SAPNextGen 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: [[id]] | Work Area: [[filter1]] | Expected Travel: [[filter3]] | Career Status: [[filter2]] | Employment Type: [[filter4]] | Additional Locations: [[filter10]] #LI-Hybrid
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.