Azure ML Support Engineer

HRBrain

Full Time
Canada
Posted 11 months ago

We’re looking for an Azure ML Support Engineer! Reach out if you’re interested and feel free to refer friends/colleagues!

 

Type of Employment: Contract
Title: Azure ML Support Engineer
Term: 12-month Contract – Toronto
Location: Remote for now
Job ID number: C1017

 

Brief description of duties:

  • Day to day operations of advanced analytics and data visualization toolsets, including end-user problem resolution
  • Conducting platform performance and availability monitoring and administration in a 24×7 production environment
  • Provide technical guidance on platform maintenance including integration with other existing solutions deployed in the enterprise
  • Strong communication and presentation skills with a high degree of comfort with large and small technical audiences including the ability to influence senior-level executives

 

MUST haves:

 

  • Experience with setup, configuration, and maintenance of automated machine learning platforms like Azure Machine Learning and associated platform maintenance
  • Demonstrated operations knowledge/experience related to day-to-day support of advanced analytics and/or machine learning platforms (e.g. Azure Machine Learning PaaS setup/configuration)
  • Understanding of Microsoft Azure ecosystem in support of advanced analytics platforms (e.g. ADLS, Blob Storage, Synapse)
  • Proven experience in setup, configuration, and maintenance of data visualization ecosystems like Tableau and Power BI, both on-premise and cloud implementations
  • Demonstrated operational experience with the support of end-users and technology platforms for advanced analytics and data visualization
  • Solid understanding and implementation experience surrounding data pipeline operationalization and support (i.e. build/promote/maintain data model pipelines) including performance monitoring and scaling
  • Strong SQL skills to understand complex queries and optimize them for performance across large volumes of data
  • Strong technical data analytics experience with a variety of RDBMS (i.e. SQL Server, DB2 LUW, and zOS) and non-relational systems (i.e. semi-structured and unstructured data)
  • Communication and presentation experience with a proven track record of using insights to influence executives and colleagues
  • Strong background in Unix and Windows integrated environments
  • Understanding and experience on cloud platforms (i.e. Microsoft Azure, AWS, GCP) is an asset

 

Nice to haves:

 

  • DataRobot experience is nice to have

 

Job Features

Job CategoryAzure Data Engineer
Setup, configuration, and maintenance of automated machine learning platform like Azure Machine Learning and associated platform maintenance6+
DataRobot6+

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