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Job Opportunity at Microsoft In Jordan: Support Engineer - Machine Learning

By: microsoftLast update:
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Applicant criteria

ResidenceJordan
NationalityNo specific nationality required
Age
  • No specific age required
Gender
  • Both

Opportunity criteria

Job Type
  • Full time
Salary Range
  • from: 500
  • to: 1500
Job FieldsInformation Technology Jobs
Job locationJordan (Amman)
Needed documentsCV
Deadline2022-09-20

Opportunity description

Microsoft is offering a job opportunity in Jordan as a Support Engineer - Machine Learning. The Azure Machine Learning Support Engineering team is part of Microsoft Customer Services and Support organization, meant to help and support our customers run and deploy their AI/ML workload in Azure Machine Learning service and build innovative AI based solutions.

Duties & responsibilities

  1. Responsible for customer support experience with Microsoft
  2. Own, troubleshoot and solve customer technical issues, using collaboration, troubleshooting best practices and transparency within and across teams (e.g., swarming)
  3. Identify cases that require escalation (either technically or strategically)
  4. Create and maintain incident management requests to product group or engineering group
  5. Contribute to case deflection initiatives, automation and other digital self-help assets to improve customer and engineer experience
  6. Drive technical collaboration and engagement outside of CSS (Product Engineering teams, Services, Support, Regions)
  7. Lead or participate in building communities with peer delivery roles; may be workload or specialty specific

Eligibility criteria

Soft Skills:

  1. Great communication skills and fluency in both written and spoken English
  2. Good collaboration skills in a team-oriented environment
  3. Passion for technology and for continuous learning
  4. Motivated by offering the best customer experience and promoting a relationship based on trust

Technical Skills:

  1. Experience deploying robust APIs in production environments (ideally cloud-based environments such as Azure or AWS, GCP).
  2. Proficiency in deploying and troubleshooting containers (Docker) and container orchestration systems (Kubernetes a must).
  3. Experience with at least one programming language popular in the ML ecosystem (preferably Python).
  4. An understanding of the importance of CI/CD pipelines and how to set them up. Have experience and/or strong interest in building and deploying machine learning applications.
  5. Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and interest in learning more.
  6. Experience in building and troubleshooting issues with at least one of cloud networking architectures (Azure, AWS, or GCP)
  7. Private link and Service endpoints
  8. Firewall

Good to have:

  1. Working experience with classical machine learning and deep learning models, and libraries like Scikit-learn, Pytorch, Tensorflow
  2. Experience deploying and managing Kubernetes clusters On-premises or Cloud
  3. Experience with distributed deep learning training (or interest in learning) GPU/multi-GPU (scaling, monitoring GPU metrics, hardware-specific GPU optimization) production deep learning

About Microsoft:

Microsoft Corporation is an American multinational technology company with headquarters in Redmond, Washington. It develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and related services. Its best known software products are the Microsoft Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers.

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