Azure AI / ML Platform Engineer
Work Location: Toronto, Ontario, Canada
Hours: 37.5
Line of Business: Technology Solutions
Pay Details: $91,200 - $136,800 CAD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD.
Job Description:
Passionate about Generative AI and Machine Learning
AIOps/MLOps mindset enabling services and developing pipelines for managing training models and production models.
Collaborate with internal application development teams to leverage AI/ML services to solve business objectives
Understand security, risks and mitigations to load data and training models securely into Cloud
Programming skills with experience in API and Webhook development using Python, Git Actions and Terraform
Write and use Azure RM and Terraform templates
Understand Azure security features (data protection, authentication, RBAC, etc)
Understanding of Public Key Infrastructure (PKI), handling public key and private key certificates in Azure environment for PaaS services and applications
Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, routing
Proficiency in cloud automation using native Azure CLI
Understand concepts related to deploying platform and data analytics via CI/CD pipeline
Ensure that all cloud solutions follow internally defined security and compliance controls
Develop/Consume APIs, SDKs and Webhook for multi-directional integration of cloud orchestration platform with enterprise systems, DevOps Tools and cloud platforms
Ability to participate in fast-paced DevOps Engineering teams within Scrum agile processes
A critical thinker with strong research and analytics skills
Self-motivated with a positive attitude and an ability to work independently and in a team
Experience & Education:
3+ years AI and ML platform engineer
3+ years of experience developing platform orchestration code in Azure Python SDK, Terraform and GitHub Runners
Strong expertise with delivering Cloud Infrastructure As Code (IAC) leveraging CI/CD pipelines, Terraform and Git Actions.
Understanding of different GenAI models, development frameworks (Langchain, Semantic Kernel) and AI ecosystem tooling (evaluation, monitoring, governance, security, vector databases)
Ability to understand and identify security risks related to GenAI and techniques
Understanding of major components of RAG applications, usage patterns, and optimization
Must be a self-starter, demonstrated ability to take independent action to achieve results.
Highly developed critical thinking, analytical and problem-solving skills
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.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes.
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