Technical Support Engineer-Azure Machine Learning
4 weeks ago
Skills :Knowledge with
Azure Machine Learning
and how it works with associated Azure services.Strong
Python coding skills
preferably
SDK Ver2Knowledge of
AML
workspace Provisioning and model DeploymentKnowledge in
AML Studio ,
Azure Key Vault,
Azure Kubernetes Services ,
Azure cloud Storage ,
Azure Container RegistryKnowledge of scenario-based Inferencing, how to deploy, how to provision on a compute and get the inferencing resultsKnowledge of
Networking ,
DNS ,
Troubleshooting
will be added advantageFamiliarity 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 skillsInvestigate 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 developmen t experienceEffective communication and interpersonal skills to interact with customers and cross-functional teams.
Technical Support Engineer - Responsibilities• Responsible for the customer support experience with Microsoft• Own, troubleshoot and solve customer technical issues, using collaboration, troubleshooting best practices and transparency within and across teams (e.g. swarming)• Identify cases that require escalation (either technically or strategically)• Create and maintain incident management requests to product group or engineering group• Contribute to case deflection initiatives, automation and other digital self-help assets to improve customer and engineer experience• Provide ramp activities, knowledge sharing, technical coaching and mentoring• Drive technical collaboration and engagement outside of CSS (Product Engineering teams, Services, Support, Regions)Customer Guidance: Provide guidance and recommendations to customers on best practices for machine learning model development, deployment, and monitoring using Azure Machine Learning.Troubleshoot and resolve technical issues, performs system maintenance and upgrades, and provides guidance and training to users.• Lead or participate in building communities with peer delivery roles; may be workload or specialty specific
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