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AI Cloud Engineer

4 weeks ago

London, Ontario, Canada TD Full time
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Lieu de travail : Toronto, Ontario, Canada

Horaire : 37.5

Secteur d'activité : Solutions technologiques

Détails de la rémunération: $76,800 - $115,200 CAD

Description du poste :

As part of the AI Platform, within Data as a Service (DaaS), we are seeking a highly skilled and experienced AI/ML Cloud Engineer to join our team and drive the delivery of cutting-edge enterprise capabilities and solutions on the Azure AI Platform.

Key Responsibilities:

- Infrastructure Design and Implementation: Develop and deploy scalable, reliable, and efficient cloud-based solutions tailored for our AI initiatives.
- AI Model Integration: Deploy AI models into production environments using Azure AI Platform tools.
- Cloud Services Management: Implement and manage cloud-based services and infrastructure.
- Collaboration: Partner with engineers to design scalable and resilient platforms.
- Automation and Orchestration: Develop automation and orchestration processes.
- API Management: Develop and manage APIs for model inferencing.
- Security and Compliance: Ensure the security and compliance of cloud-based AI solutions.
- Performance Monitoring and Optimization: Monitor and optimize the performance of AI workloads.
- Troubleshooting: Diagnose and resolve issues related to cloud infrastructure.
- Continuous Improvement: Stay updated with the latest trends and advancements in cloud computing and AI technologies.

Education and Qualifications:

- Industry Experience: 3 - 5 years in a similar role within the AI and tech industry.
- Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Programming: Competency in Python, SQL, Spark.
- Big Data Technologies: Experience with big data technologies.
- Machine Learning and AI: Good understanding of overall machine learning and generative AI applications.
- Cloud Technical Expertise: Experience with Azure AI Platform and AI tools.
- Containerization and Orchestration: Working knowledge of containerization and orchestration tools.
- Infrastructure as Code (IaC): Familiarity with IaC tools.
- MLOps Practices: Familiarity with DevOps concepts.
- Problem-Solving and Collaboration: Excellent problem-solving skills.
- Cloud Certifications: Certification in cloud platforms.

If you are passionate about leveraging cloud technology to advance AI capabilities, we would love to hear from you.

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