DevOps for Machine Learning Development Job

Job description

Requisition ID: 151347
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Early Talent
Employment Type: Regular Full Time

COMPANY DESCRIPTION

As market leader in enterprise application software, SAP helps companies of all sizes and industries innovate through simplification. From the back office to the boardroom, warehouse to storefront, on premise to cloud, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably.

#sapmachinelearningcareers#ICNsiliconvalley

PURPOSE AND OBJECTIVES

The SAP Innovation Center Network 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.

Machine Learning enables computers to learn from large amounts of data without being explicitly programmed. The world's most relevant enterprise data is part of SAP's system and business network. SAP aspires to make all its enterprise solutions intelligent and help customers to leverage their data. As DevOps engineer for Machine Learning development, you will work with a team of experienced researchers and data scientists taking on challenges posed by the SAP customers and product units and providing smart services across and beyond the SAP portfolio.

EXPECTATIONS AND TASKS

As part of the SAP Innovation Center Network Machine Learning team, you will work together with a team of dedicated experts including researchers, developers, QA 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 on the creation and execution of manual cases for functional, regression and end-to-end development support, system administration and troubleshooting.

·  Define and evangelize deployment and operational quality metrics for SAP Machine Learning services and applications.
·  Deploy scalable, available, resilient micro-services based solutions in the cloud (e.g. Cloud Foundry or AWS)
·  Work across service delivery operations teams on development procedures and operational metrics for public cloud deployment and delivery.
·  Review and report on performance indicators for infrastructure services
·  Provide computing metrics key for effective capacity management and planning
·  Manage/Maintain the continuous delivery of ML services in the cloud and maintain productive code deployments.
·  Troubleshoot production issues related to service consumption, scalability of service etc.
·  Create valid estimates regarding effort for tasks, communicate these estimates and meet deadlines in a timely manner.

Education and Requirements

·  Minimum; BS or MS in Computer Science, Information Technology, Mathematics or related field
·  2 -3 years of specific DevOps experience for standard product development
·  Strong grasp of Cloud Computing – SaaS, PaaS, IaaS fundamentals and experience designing and implementing solutions
·  Agile delivery
·  Experience with SAP Cloud Platform and Cloud Foundry development
·  Data Center Technologies converged infrastructure, Virtualization, open stack technologies
·  Good Understanding of dynamic provisioning, docker, and linux
·  Working with both technical and non-technical team members
·  Familiarity with machine learning concepts/algorithms is helpful
·  Must be able to work onsite in Palo Alto, CA starting January 2018
·  This role is not able to support an international transfer

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 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: or , APJ: , EMEA: C ). Requests for reasonable accommodation will be considered on a case-by-case basis.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.

Additional Locations:

Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
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