Machine Learning / Deep Learning Developer , SAP Singapore Machine Learning / Deep Learning Developer , SAP Singapore Job
sap
Singapore, SG
10d ago

PURPOSE AND OBJECTIVES

The SAP New Ventures & Technologies is a strategic innovation entity within SAP, combining software engineering excellence with thought leadership and entrepreneurial spirit.

Across various focus clusters and by building on strong teams, we pioneer game-changing solutions in close collaboration with startups, customers & partners in industry and research as well as with other SAP units.

To ensure a successful go-to-market, we follow an end-to-end responsibility approach. By exploring unconventional ideas and developing inspiring proofs of concept, we push the state of the art in computer science and its applied fields to provide SAP with foresight into future trends.

As a Developer for machine learning you will work in a team of experienced researchers, data scientists and application developers taking on challenges posed by the SAP customers and product units.

You will have the chance to work with the richest data sets available in the world addressing real-world problems. Your primary goal will be to implement state-

of-the-art algorithms and to develop new approaches and technologies for deriving value from our customers’ data. You will have a chance to select and implement the best technologies and approaches based on your own experience, judgment, and experimentation results.

This role combines (1) experience with machine learning and deep learning (2) practical knowledge of working with scalable platforms for processing of huge data sets (3) ability to understand the data, associated processes and business implications, (4) scaling from minimum viable product up to shippable production code, and (5) build and maintaining innovative new products from the ground-up.

SAP Machine Learning team in Singapore provides an open, modern working environment and the opportunity to become part of the global SAP community.

EXPECTATIONS AND TASKS

As part of the Machine Learning team, you will work together with a team of dedicated experts including researchers, developers, devops engineers and architects with a single goal of building best machine learning pipelines for a variety of use cases spanning commerce, financial markets, and procurement.

You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top notch research prototypes. Your tasks include :

  • Push the frontiers of what is possible in the area of machine learning so as to create new solutions
  • Explore, understand, and implement most recent algorithms and approaches for supervised and unsupervised machine learning and deep learning
  • Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
  • Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance
  • Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis and refinement of the system implementation
  • Communicate the relevance of implemented systems and achieved results in a visual and consistent way
  • Work closely with the team (product owner, designers and other developers) and customers to holistically understand business and user requirements and derive adequate application development concepts
  • Performing quality assurance tasks
  • Working together with partners and customers
  • Solve complex integration issues
  • Ability to work in global teams with different time zones
  • Immerse yourself quickly into new topics, terminology and development tasks
  • WORK EXPERIENCE

    At least 3 years of experience in deep learning / machine learning / data science development projects with a focus on innovation.

    At least 2 years of hands-on experience in building machine learning-based products. Proficient knowledge and track record of applying modern deep learning concepts.

    Your application documents should contain a cover letter reviewing your experiences and your interest, your CV, copies of your degrees (university, apprenticeship, high school) and copies of references from your former employers (if available).

    EDUCATION AND QUALIFICATION / SKILLS AND COMPETENCIES

    You are a self-starter, goal-oriented, striving for perfection. As an ideal candidate you will demonstrate a proven track record in development of large-

    scale machine learning / deep learning pipelines and combine it with curiosity for exploring of new use case and applications of machine learning / deep learning to domains spanning processing of video, structured and unstructured data.

    Ideally you bring breadth across all verticals (image, text, structured / time series data) with a depth in one of them.

    Required

  • Degree in Computer Science, Data Science, Mathematics, Statistics, Operations Research or related field
  • Track record of developing novel learning algorithms and / or systems
  • Proficiency in handling of multi-terabyte datasets in big data frameworks
  • Experience with Machine and Deep Learning software packages & libraries such as Caffe, Torch, Theano, TensorFlow, Scikit-
  • learn, DeepLearning4j etc; programming languages such as Python, C++, Java, Scala etc.

  • Ability to visualize data and present core insights in a clear and compelling way
  • Strong desire to overcome obstacles and make your work benefit SAP's customers
  • Ability to understand business processes and drive to solve business problems
  • Excellent written and communication skills in English language
  • Optional

  • Publication track record on deep learning / machine learning
  • Post-Graduate or PhD degree in Computer Science, Mathematics, Statistics, Operations Research or related field
  • Job Segment : Developer, Deep Learning, Machine Learning, Artificial Intelligence, Data science development

    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.

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