Senior AI Cloud Engineer

1 month ago

Old Toronto, Ontario, Canada TD Full time
Job Title: Senior AI Cloud Engineer

We are seeking a highly skilled and experienced AI/ML Cloud Engineer to join our team at TD 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, selecting suitable Azure services, configuring resources, and optimizing performance to ensure smooth integration with our AI models and applications.
  • AI Model Integration: Deploy AI models into production environments using Azure AI Platform tools such as Azure ML, Azure AI Studio, Open AI, Vector Databases, and Databricks.
  • Cloud Services Management: Implement and manage cloud-based services and infrastructure, including compute, storage, access, and networking.
  • Collaboration: Partner with engineers to design scalable and resilient platforms that fully utilize cloud services, working with architects, data scientists, platform engineers, AI security teams, and other stakeholders to ensure alignment and success in our AI projects.
  • Automation and Orchestration: Develop automation and orchestration processes to streamline workflows and minimize manual intervention for AI applications, using tools like Terraform, Ansible, or Kubernetes to automate deployment and management.
  • API Management: Develop and manage APIs for model inferencing in a serverless environment, leveraging cloud services for efficient and cost-effective solutions.
  • Security and Compliance: Ensure the security and compliance of cloud-based AI solutions, working with AI security teams to implement necessary controls and safeguards for sensitive data and intellectual property.
  • Performance Monitoring and Optimization: Monitor and optimize the performance of AI workloads and cloud resources, analyzing resource utilization, identifying cost-saving opportunities, and implementing strategies such as rightsizing instances, using spot instances, and leveraging auto-scaling capabilities.
  • Troubleshooting: Diagnose and resolve issues related to cloud infrastructure and AI applications.
  • Continuous Improvement: Stay updated with the latest trends and advancements in cloud computing and AI technologies, continuously enhancing the frameworks and tools that support our AI and ML capabilities.
Requirements:
  • Industry Experience: Previous experience in a similar role within the AI (3 - 5 years) and tech industry experience (8-10 years).
  • Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Programming: Competency in Python, SQL, Spark, with experience in Scala, Java, C++ a plus.
  • Big Data Technologies: Experience with big data technologies (Hadoop, Spark, etc.) with deep knowledge of data engineering and ETL processes.
  • 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 like Azure ML, Azure AI Studio, Open AI, Vector Databases, and Databricks.
  • Containerization and Orchestration: Working knowledge of containerization and orchestration tools (Docker, Kubernetes).
  • Infrastructure as Code (IaC): Familiarity with IaC tools (Terraform, Ansible, etc.).
  • MLOps Practices: Familiarity of DevOps concepts and hands-on experience with CI/CD pipelines.
  • Problem-Solving and Collaboration: Excellent problem-solving skills and the ability to work both independently and as part of a team, with strong communication skills for effective collaboration with cross-functional teams.
  • Cloud Certifications: Certification in cloud platforms.

If you are passionate about leveraging cloud technology to advance AI capabilities and enjoy working in a dynamic, collaborative environment, we would love to hear from you.

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