Company Description

Our client specializes in cloud and data modernization, Microsoft Dynamics Modernization, Digital contact center setup and management, managed cloud services and digital transformation services. They have a presence in North America, Europe, ANZ and Asia-Pacific. Partnerships with leading technology providers such as Microsoft, Amazon, Google, among others, and has received several awards and recognition for its services. With a focus on innovation and customer-centricity, they aim to help businesses accelerate their modernization and digital transformation journeys.

Job Description

  • Knowledge with Azure Machine Learning and how it works with associated Azure services.
  • Strong Python coding skills preferably SDK Ver2
  • Knowledge of AML workspace Provisioning and model Deployment
  • Knowledge in AML Studio, Azure Key Vault, Azure Kubernetes Services, Azure cloud Storage, Azure Container Registry
  • Knowledge of scenario-based Inferencing, how to deploy, how to provision on a compute and get the inferencing results
  • Knowledge of Networking, DNS, Troubleshooting will be added advantage
  • Familiarity with machine learning algorithms, model development, and deployment.
  • Experience in troubleshooting and resolving technical issues related to machine learning frameworks and tools.
  • Responsible for providing technical support and expertise to customers utilizing the Azure Machine Learning platform. Respond to inquiries, troubleshoot technical issues and provide solutions. Debugging, and problem-solving skills
  • Investigate and resolve customer-reported problems related to Azure Machine Learning services (Ex:ML job failures). Understand API errors, browser compatibility issues, image processing, face recognition.
  • Azure, AWS cloud development experience
  • Effective communication and interpersonal skills to interact with customers and cross-functional teams.

Qualifications

2 years experience 

Location

San Luis Soyatlán, Mexico

Job Overview
Job Posted:
1 month ago
Job Expires:
Job Type
Full Time

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