Expires soon SAP

Working student (f/m): Software Developer for Machine Learning Projects Job

  • Studentenjob
  • Berlin, Germany
  • IT development

Job description

Requisition ID: 131221 
Work Area: Software-Design and Development 
Location: Berlin
Expected Travel: 0% 
Career Status: Student 
Employment Type: Limited Part Time

Additional information: Location in Berlin OR Walldorf

Preferred employment duration: at least 1 year

 

COMPANY DESCRIPTION

SAP’s vision is to help the world run better and improve people’s lives.

As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.

At SAP, we believe in the power of collaboration and empower our employees to perform at their best in an environment that encourages free and open expression of ideas. You’ll work alongside creative thinkers who share your interests, while turning big ideas into reality for our customers. With innovative job training, mentors to help you grow, and the flexibility to balance your work and personal life, you’ll be able to get more out of your career. It’s no wonder that some of the sharpest minds from around the world are working for a company that is consistently recognized as a global top employer.

Now it’s your turn to take the next step and help make the world Run Simple.

 

PURPOSE AND OBJECTIVES

Machine Learning enables computers to learn from large amounts of data without being explicitly programmed. The world's most relevant enterprise data is part of SAP's system and business network. SAP aspires to make all its enterprise solutions intelligent and help customers to leverage their data.

 

Our Machine Learning team is part of the SAP Innovation Center Network. In nine locations around the globe, it combines the best of two worlds: the creativity and agility of startups with the backbone of a world market leader in business software. The Innovation Center Network is driven by the collaboration of more than 450 engineers, designers, product experts, and business developers. These interdisciplinary teams take over end-to-end responsibility: from the first proof-of-concept with a co-innovation partner to a market-ready product. Join the team!

Desired profile

EXPECTATIONS AND TASKS

You will have the unique opportunity to be part of the machine learning platform team within the SAP Labs Berlin. This very dynamic, fun and start-up type of environment provides a huge potential to learn and work on emerging technologies such as Machine learning, AI, Cloud and Big Data. You will be working together with experienced software engineers and machine learning experts to deliver state-of-the-art intelligent services in our cloud ecosystem.

 

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

·  Student (f/m) at a university and university of applied sciences with preferred field(s) of study: Computer Science, Data Science, Machine Learning
·  Computer skills: excellent coding skills in Java or Python
·  Language skills: good English
·  Soft skills: good communication skills, as well as the ability and willingness to learn fast

 

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SAP'S DIVERSITY COMMITMENT

 

To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

 

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical, sensory 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 contact us atCareers.Germany@sap.com . Requests for reasonable accommodation will be considered on a case-by-case basis.

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