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Software-Development Operations

Machine Learning Engineer

What we offer

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!

 

 

Machine Learning Engineer

 

SAP is currently expanding the Data Science & Machine Learning team in Bucharest, Romania that is responsible for building advanced analytics solution content and driving innovation initiatives from a business to a data science perspective. SAP Data Science & Machine Learning team brings value to its customers by helping them map Data Science solutions that improve business results based on scientific analysis of large amounts of business data.

 

Expectations and tasks:

You, as an Machine Learning developer, will do the mathematical modelling of our customers’ business problems, develop algorithms and applications to solve these problems while helping our customers to understand and implement the results of the analysis. In this role, you will work with industry and technology experts to translate our customers’ business needs into mathematical models, present, and deliver an end-to-end solution to the client. Your future role requires the ability to work and communicate as a part of a high-performance team in an international environment.
You’ll tackle problems in diverse domains, like analysing the correlations between sold products and impact of promotions on big retailers, automatically balancing the energy marketplace, helping professional athletes in understanding their performance or identifying oil well downtimes before they happen.

 

Required skills:

  • Programming: SQL, JavaScript/Java
  • Mathematical modelling: R, Python
  • Knowledge of Artificial Intelligence / Machine Learning concepts and tools
  • Development experience with Machine Learning tools and environments
  • Cloud Development

 

Nice to have:

  • Experience with Deep Learning Frameworks such as TensorFlow, Caffe, Theano
  • Big Data experience
  • PhD in Mathematics, Science or Informatics

 

Skills and competencies: 

In addition to a strong scientific and IT background, the position requires strong problem-solving and consulting capabilities with the ability to communicate effectively in an international team environment.
 

The ideal candidate covers a major part of the following expertise areas:
 
BACKGROUND:

  • University degree in Mathematics, Computer Science, Informatics or Cybernetics
  • Strong background in mathematics and statistics
  • Strong background software development experience
  • Experience in mathematical modelling and optimization
  • Excellent understanding of statistical and technical methods to produce relevant insights out of huge amounts of data

 

PERSONAL SKILLS:

  • Willingness and ability to learn quickly new mathematical or technical methods with little guidance
  • Ability to inspire confidence and work with all levels of client and internal staff
  • Ability to deliver clear, concise presentations to non-scientific audiences
  • High energy, clear goal orientation and strong work ethic; “can do” attitude
  • Excellent verbal and written communication skills
  • English at advanced level is a must.

 

CUSTOMER FACING SKILLS:

  • Ability to capture customer requirements and translate them into software specifications
  • Ability to present complex information in a clear and precise manner; with non-technical audience
  • Professional appearance and demeanor

Presentation skills – ability to create professional presentations, handle proper setup of location, use technical/visual aid, have adequate body language and vocabulary, proactively engage with customer and handle questions.

 

 

 

We are SAP

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

 

Our inclusion promise

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 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: Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com.

 

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:292761 | Work Area: Software-Development Operations | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time  | Additional Locations: 

Machine Learning Engineer

Facility:  292761
Posted Date:  Jul 23, 2021
Work Area:  Software-Development Operations
Career Status:  Professional
Employment Type:  Regular Full Time
Expected Travel:  0 - 10%
Location: 

Bucharest, RO, 0030144


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