• Principal Evangelist AWS AI MXNet

    Location DE-Berlin
    Posted Date 5 months ago(2/22/2018 9:14 AM)
    Job ID
    Amazon Web Services Germany GmbH
    Position Category
    Research Science
  • Job Description

    We are looking for an experienced machine learning solution architect to contribute at the forefront of cutting edge machine learning.

    If you are passionate about new technology trends in machine learning, cloud services and reducing the time and effort to develop and deploy machine learned solutions we would like to talk to you.

    Every day will bring new and exciting challenges on the job while you:
    • Learn and use advanced technologies
    • Collaborate with internal engineering teams, leading technology companies around the world and open source community
    • Evangelize deep learning technologies and services
    • Create innovative products, and see them launched in high volume production
    As member of the Deep Engine team in AWS AI, you will be working with cross-functional teams, customers and open source community to build deep learning applications, develop tutorials, presentation and blogs to evangelize and teach the use of deep learning, contribute to the deep learning framework development and develop new AI application and services.

    This position within the Deep Learning team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical expertise in machine learning or high performance computing, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.

    Basic Qualifications

    • MSc degree in Computer Science, Machine Learning or related field or equivalent work experience.
    • 5+ years professional experience in conducting experiments, building and deploying machine learned solutions.
    • Computer Science fundamentals in object-oriented design, data structures, high-performance computing and GPGPU programming.
    • Computer Science fundamentals in algorithm design, complexity analysis, problem solving and diagnosis.
    • Proficiency in, at least, one modern programming language such as Java, Python, C/C++, C#, Perl.

    Preferred Qualifications

    • PhD in Computer Science, Math or Engineering
    • 5+ years of software development experience
    • Knowledge in at least 3 languages or frameworks typically used for machine learning
    • 5+ years experience in big data processing or machine learning
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