Azure AI and Machine Learning Solutions Architect

2 weeks ago


Toronto, Ontario, Canada Astra North Infoteck Inc. Full time
Azure AI and Machine Learning Engineer

Astra North Infoteck Inc. is seeking an experienced Azure AI and Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and deploying AI and ML solutions on Azure.

Key Responsibilities:
  • Design and develop AI and ML models using Azure services such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
  • Collaborate with cross-functional teams to integrate AI and ML solutions with existing systems and applications.
  • Develop and maintain cloud-based infrastructure for AI and ML workloads, including Azure Virtual Machines, Azure Storage, and Azure Networking.
  • Implement security and compliance controls to ensure the integrity and confidentiality of AI and ML data.
  • Work with data scientists and engineers to develop and deploy AI and ML models, and to integrate them with business applications.
  • Stay up-to-date with the latest advancements in AI and ML, and apply this knowledge to improve our solutions and services.
Requirements:
  • 2+ years of experience in AI and ML development, with a focus on cloud-based solutions.
  • Strong expertise in Azure services, including Azure Machine Learning, Azure Cognitive Services, and Azure Databricks.
  • Experience with cloud-based infrastructure, including Azure Virtual Machines, Azure Storage, and Azure Networking.
  • Strong understanding of security and compliance controls, including data protection, authentication, and authorization.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Preferred Skills:
  • Experience with programming languages such as Python, R, and SQL.
  • Knowledge of data science and machine learning concepts, including supervised and unsupervised learning, neural networks, and deep learning.
  • Experience with cloud-based data platforms, including Azure Data Lake Storage and Azure Synapse Analytics.
  • Strong understanding of DevOps practices, including continuous integration and continuous deployment (CI/CD).


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