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.

What you will do

Be part of the Artificial Intelligence Technology team in Shanghai to develop leading edge AI and ML inspired applications for support. We apply an end-to-end ML application lifecycle model that starts with Explorative Data Analysis and ends with the Go Live of productive ML solutions as well as their continuous maintenance and improvement. In your daily job you will:

• Assess requirements necessary for developing ML services in the Support Delivery domain.

• Develop and optimize state-of-the-art machine learning algorithms that provide robust situational assessment and predictive capabilities.

• Explore, understand, and implement most recent AI technologies, like Large Language Models, Generative AI, etc.

• Design and develop large scale training and deployment systems, using multiple GPU's and servers, dedicated H/W, multi-threading, and parallelization.

• Collaborate with data engineers to develop data and model pipelines.

• Be able to comfortably handle and analyze real-world data sets.

• Strive for automation and cloud operation readiness.

• Improve quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation.

What you bring

Required skills

• University degree in Computer Science, Statistics, Data Science or related technical field

• Strong analytical and problem-solving skills with a passion for Machine Learning

• Solid foundation in computer science, with strong competencies in algorithms, data structures, object-oriented programming, design patterns, multi-threaded programming, and software design principles

• Knowledge of programming languages, preferably Python

• Experience with at least one of the following cloud-related technologies & concepts: Kubernetes, Docker, Kubeflow or other IaaS/PaaS environments

• Extensive knowledge in building, validating and evaluating machine learning models, as well as experience in machine learning evaluation metrics and best practices

• Practical experience in architecting, training and analyzing deep learning models

• Hands-on experience in working with big-data and SQL/no-SQL technologies such as PostgreSQL, Spark, Redis, ElasticSearch

• Fluent in English, both verbal and written communication skills

• Creative thinking, willingness and ability to learn quickly new concepts and technologies

• Strong team player

Preferred skills / beneficial

• Experience with version control tools such as git

• Experience handling real-world large-scale data sets

• Familiar with modern DevOps methodologies and ability to establish CI/CD process

• Experience with Agile

• 5 years of development experience, including 3 years of commercial / academic machine learning experience

Meet your team

We are driving customer success by building innovative data-driven solutions that provide faster, smarter and more personalized customer support experiences. We are a team of 30 data scientists, data engineers and DevOps and Security experts around Europe and Asia and pilot new working models including self-management and agile methodologies.

#ICC24

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

SAPs 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 (https://one.int.sap/me@sap/jobs_at_sap#17498858-1050-415e-8d82-21f91655666b_96fc) . 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: 393527 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.