Machine Learning Engineer

Employer: SAP
Domain:
  • Engineering
  • IT Hardware
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 20.03.2019

    PURPOSE AND OBJECTIVES

    SAP is currently expanding the global Data Science & Machine Learning team 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 to implement Data Science solutions that improve business results based on scientific analysis of large amounts of business data.

     

    Here are a few projects we are working oIn retail, we predict future sales based on the variation of the price, the season of the year, and then we determine the optimal discount to maximize revenue while clearing In transportation, we work on routing optimization and capacity planning to maximize In supply chain, we design replenishment algorithms to maximize product In sports, we work with real-time biological data to help players increase their We get more and more exciting projects, and we need your help to deliver them.

     

    WHAT WE EXPECT YOU TO DO

    As a Machine Learning Engineer, you will:

    • understand our customers’ business challenges
    • develop mathematical models to map to solve them
    • design and implement algorithms and productive applications
    • help our customers understand and implement the results of the analysis.

    You will work with industry experts and technology experts throughout this end-to-end cycle. You therefore  must have the ability to work and communicate as part of a high-performing team in an international environment.


    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 massive amounts of data
    • Strong problem solving and consulting capabilities

     

    TECHNOLOGY / MACHINE LEARNING MUST
    Must have:

    • 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

    Nice to have:

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

     

    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

     

    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 the customer and handle questions

     

    Take a look at some of our projects:

    • SAP Sales Insights for Retail
    • Biometric sensor technology
    • Load Forecasting & Peak Load Determination
    • eTrading Solutions for Electricity Balancing and Redispatching in Europe