SAP Machine Learning Internship in Center of Expertise St.Petersburg Job in Saint-Petersburg, Russia

Requisition ID: 188088

Work Area: Software-Design and Development

Expected Travel: 0 - 10%

Career Status: Student

Employment Type: Limited Part 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

This is a paid internship limited for a 10 months’ period. Work on real projects and make an impact in the business world – before you even graduate – with an internship at SAP. Gain new skills and on-the-job experience, beef up your resume, collaborate with colleagues around the world, and have fun doing it all. At the end, you may even land a full-time gig – a lot of our interns do.

EXPECTATIONS AND TASKS

We look for students passionate about developing applications and solutions, taking responsibility to develop a task independently but also being able to integrate into a team. During the 10 months of internship you will dive deeply into atmosphere of a startup, you will get the chance to build and sell a prototype of your own idea for business application or to work on one of our projects.

Gain experience with real-world industrial scenarios using modern technologies

  • Analyze large data sets, understand the context of IoT, use machine learning libraries and APIs

  • Use Design-Thinking approach for Apps Development

  • Apply algorithms in Machine Learning for broad range of tasks and scenarios

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

  • Pursuing a technical degree in informatics, mathematics (Bachelor or Master graduation in 2019)

  • Interested in IoT, Machine learning and other cutting-edge technologies

  • Knowledge of at least one of the following languages/frameworks: HTML5, JS, Java, angular.js

  • Learning agility of new technologies

  • Native Russian, Fluent English

  • Excellent communication and presentation skills

  • Teamwork skills

  • Entrepreneurship passions

WE OFFER

  • Work in a truly Agile environment

  • Work with our experts on the newest technologies

  • Modern office in the heart of St.Petersburg with play room, gym and lots of activities

  • Great coffee

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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