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SAP
SAP

The best-run businesses run SAP.

Machine Learning Engineer Expert, Applications AI Team

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필수 스킬

Machine Learning

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 motivated AI Scientist Expert to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what is possible with AI. You will work across customer projects, strategic product development, and research initiatives making a real-world impact from day one.

This position is ideal for a seasoned AI professional with a strong technical foundation, business acumen, and a passion for bridging research innovation with practical business applications. In this position, you will work on cutting-edge AI projects with direct customer impact.

What you Build

Collaborating with product & engineering leaders, executives, customers and other senior stakeholders, you will plan, direct, and deliver prototype and production grade AI solutions for strategic business problems.

Mathematical Modeling & Algorithm Design:

Translate complex business problems into mathematical or computational models.

Design, implement, and optimize machine learning algorithms and data mining workflows

Rapid Prototyping & Customer Engagement:

Collaborate directly with customers to understand business needs, define requirements, and deliver proof-of-concept AI solutions

Build, integrate, and test AI-driven prototypes and applications for real-world use cases

AI Development & Research:

Support internal teams by designing and implementing novel machine learning algorithms

Apply recent research breakthroughs to practical problems to create measurable business value

Contribute to continuous improvement of system scalability, performance, and explainability

Communication & Collaboration:

Clearly communicate complex results and insights to both technical and non-technical stakeholders

Visualize and document findings to ensure transparency and reproducibility

Work cross-functionally with product, engineering, and research teams to drive AI adoption

Due to the global nature of the team and the customers we serve, the team is completely results-oriented, where team members work during their own local working hours while allowing time to meet with their fellow team members, managers, and customers at mutually convenient times.

What You Bring

Education & Experience:

Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field

10+ years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects)

Technical Skills:

Strong background in machine learning, deep learning, data mining, and/or optimization

Proficiency with Python and machine learning libraries (e.g., Py Torch, Tensor Flow, scikit-learn)

Extensive experience working with real-world datasets, data preprocessing, and model deployment

Expertise working with cloud environments (AWS, Azure, GCP)

Core Competencies

Ability to translate abstract business challenges into concrete AI solutions

Strong analytical, problem-solving, and mathematical modeling skills

Curiosity and initiative in exploring new AI techniques and applications

Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks

Write production-grade Python code

Excellent communication and collaboration skills, especially in customer-facing environments

Commitment to ethical and explainable AI practices

Where you Belong

The Intelligence Team within Application AI is the team responsible for performing advanced R&D and AI application development for SAP Business Suite Finance & Spend. Our solutions work across SAP business applications to deliver on the company’s suite-first, AI-first promise. We are a group of globally distributed AI scientists that collaborate in a multidisciplinary environment with customers, product managers, and full-stack engineers. In this role, you will gain exposure to diverse problem domains; no two projects are the same. We foster a culture of innovation where new ideas are encouraged and valued.

#SAPInternalT4PFBring 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: 446266 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:

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SAP 소개

SAP

SAP

Public

The best-run businesses run SAP.

10,001+

직원 수

Walldorf

본사 위치

$157B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.2

보상

3.5

문화

4.1

커리어

3.4

경영진

3.6

65%

지인 추천률

장점

Flexible hours and remote work options

Supportive management and team collaboration

Good benefits and training programs

단점

Work-life balance challenges and overwhelming workload

Fast-paced environment with unrealistic deadlines

Limited career advancement opportunities

연봉 정보

2개 데이터

Intern

L3

L4

L5

Intern · Data Scientist

0개 리포트

$68,766

총 연봉

기본급

-

주식

-

보너스

-

$58,453

$79,079

면접 후기

후기 5개

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 40%

부정 60%

면접 과정

1

Application Review

2

HR/Recruiter Screen

3

Phone/Technical Screen

4

Hiring Manager Interview

5

Onsite/Panel Interview

6

Technical Assessment

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

SAP-Specific Technical Skills