Software Engineer II

Software Engineer II

Job Overview

Location
London, England
Job Type
Full Time Job
Job ID
26070
Date Posted
1 year ago
Recruiter
John Apl
Job Views
93

Job Description

Azure Machine Learning (AML) vision is to democratize Machine Learning technology and make it readily available to every enterprise, developer, and data scientist. One of the fundamental parts of Azure Machine Learning is AML Pipelines through which data scientists can build pipelines for data prep, training, validation, packaging, and deploy Machine Learning models at scale over heterogeneous compute frameworks. Learn more about AML Pipelines here.

 

AML Pipelines adoption is growing across Microsoft and Azure customers, and we are looking for a Software Engineer ready to help design, build, and operate a Machine Learning Cloud platform at scale. This role will provide opportunities to be part of a vibrant Azure Machine Learning team fundamental at driving technical consensus and direction for Machine Learning field.

 

No Machine Learning experience required, we look for an engineer capable and passionate to solve problems in distributed systems, scalability and reliability, while building knowledge in the Machine Learning domain.

Responsibilities

  • Design and implement AML Pipelines microservices, components, and features
  • Respond to customer scenarios and feedback to help them run complex ML training graphs over heterogeneous compute platforms
  • Participate in our Dev Ops lifecycle as a champion of service quality, reliability, and outcomes for AML customers

Qualifications

Required:

  • 3+ years of software engineering experience
  • 3+ years experience in C#, Java, Python, C++ or equivalent languages
  • 3+ years of experience designing, building, and operating secure, distributed microservices.

Preferred:

  • Experience with Kubernetes
  • Experience building services on the Azure Platform, AWS, etc
  • Experience with .net core

#AIPLATFORM#

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Job ID: 26070

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