SAP Master Thesis: Machine Learning Job in Walldorf/St. Leon-Rot, Germany

Requisition ID: 180849

Work Area: Software-Research

Location: Walldorf/St. Leon-Rot

Expected Travel: 0 - 10%

Career Status: Student

Employment Type: Limited Full Time

COMPANY DESCRIPTION

SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.

SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.

PURPOSE AND OBJECTIVES

The “Intelligent Enterprise CoE” within SAP IT Services is a small unit with the mission to enable IT to build intelligent solutions with user-centric purpose. To achieve that we bring machine learning and digital assistant technologies into all business processes.

In order to evaluate whether a certain business process or a single step within a process can be (semi-)automated with machine learning, large data sets have to be pre-processed and analyzed.

EXPECTATIONS AND TASKS

The thesis student is supposed to work on Machine learning topics with NLP in focus, specifically understanding of word embeddings, CNN and RNN. As part of the Intelligence Enterprise CoE, the student will pursue topics on application of domain specific word embedding and their applications.

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

  • Currently enrolled as Master Student at a university or a university of applied sciences

  • Preferred fields of study: Computer science / Deep learning / Machine learning /NLP

  • Python , Java and C

  • Basic English and German

  • Good communication and research skills

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 describe as well your experience and skills in foreign languages and computer programs / programming languages.

#Masterthesis #Germany #Deutschland #Student

WHAT YOU GET FROM US

Success is what you make it. At SAP, we help you make it your own.

A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now .

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 and/or mental disabilities. If you 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 (Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com , APJ: Careers.APJ@sap.com , EMEA: Careers@sap.com ).

Successful candidates might be required to undergo a background verification with an external vendor.

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