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Developer (Machine Learning), SAP Singapore

SAP

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Job Summary


Salary
$6,000 - $12,000 SGD / Monthly EST

Job Type
Permanent

Seniority
Mid (3-5 yrs)

Years of Experience
At least 3 years

Tech Stacks
TensorFlow
Caffe
Theano
SAP
C++
Scala
Python
Java

Job Description


AI Business Services provides strategic machine learning services to infuse intelligence into SAP solutions. Across various focus clusters and building on strong teams, we pioneer game-changing solutions in close collaboration with customers & partners in industry and research as well as with other SAP units. By exploring unconventional ideas and developing inspiring proofs of concept, we push the state-of-the-art in computer science and enterprise machine learning.
 
As a Machine Learning Developer in AI Business Services, 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.
AI Business Services team in Singapore provides an open, modern working environment and the opportunity to become part of the global SAP community.
 
THE ROLE

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. 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 to 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. The Engineer should be able to 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. He or She should be able to 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. The Engineer should be able to perform quality assurance tasks, work together with partners and customers, solve complex integration issues and have the ability to work in global teams with different time zones and immerse quickly into new topics, terminology, and development tasks
 
ROLE REQUIREMENTS
 
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.
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 and 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 and understand business processes and drive to solve business problems
  • Strong desire to overcome obstacles and make your work benefit SAP's customers
  • Practice of Agile/Scrum methodologies, 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
     
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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