
The best-run businesses run SAP.
Machine Learning Engineer Expert, Applications AI Team
必备技能
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:
浏览量
0
申请点击
0
Mock Apply
0
收藏
0
相似职位

AI Engineer - FDE (Forward Deployed Engineer)
Databricks · Remote - India

Machine Learning Engineer
Filevine · Prague

Researcher - Multiple Levels, Microsoft Research AI Frontiers
Microsoft · United States, Washington, Redmond; United States, New York, New York

AIML - Machine Learning Researcher, MLR
Apple · Cupertino, CA

Software Engineer for XR(Extended Reality)
Qualcomm · Shenzhen, Guangdong, China; Shanghai, Shanghai, China
关于SAP

SAP
PublicThe best-run businesses run SAP.
10,001+
员工数
Walldorf
总部位置
$157B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.2
薪酬
3.5
企业文化
4.1
职业发展
3.4
管理层
3.6
65%
推荐率
优点
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
缺点
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
薪资范围
2个数据点
Intern
L3
L4
L5
Intern · Data Scientist
0份报告
$68,766
年薪总额
基本工资
-
股票
-
奖金
-
$58,453
$79,079
面试评价
5条评价
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 40%
负面 60%
面试流程
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
最新动态
AI clause in new SAP API policy provokes lock-in concern - theregister.com
theregister.com
News
·
1w ago
Manufacturing & Transportation Industry Forum | Sponsored by: SAP - Databricks
Databricks
News
·
1w ago
SAP and America250 Partner to Power the Next Era of American Innovation - America250
America250
News
·
1w ago
SAP Stock Soars After Earnings. AI Hope Defies Software Slump. - Barron's
Barron's
News
·
1w ago