Work Location:

Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

Job Description:

As part of the AI Platform, within Data as a Service (DaaS), our passion is to advance AI capabilities and deliver AI-powered solutions to optimize processes, maximize productivity and increase value for our customers and colleagues. 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. In this role, you will be at the forefront of designing, implementing, and maintaining cloud-based infrastructure & code assets specifically tailored to support our ambitious AI initiatives.

Key Responsibilities:

• Infrastructure Design and Implementation: Develop and deploy scalable, reliable, and efficient cloud-based solutions tailored for our AI initiatives. This includes 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. Work 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. Use 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. Work 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. Analyze resource utilization, identify cost-saving opportunities, and implement 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 enhance the frameworks and tools that support our AI and ML capabilities.

Education and Qualifications:

• 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. Experience in Scala, Java, C++ is 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. 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. Join us in our mission to harness the power of AI to drive innovation and business success

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
 

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement:

N/A.