Technical Support Engineer Azure Machine Learning
San Luis Soyatlán, Mexico
CONFISA INTERNATIONAL GROUP
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Kubernetes Machine Learning ML models Model deployment Python
Perks/benefits: Gear
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