AI/ML Platform Engineer (Azure & GCP)

Contract-to-Hire | Hybrid Toronto, CA We are seeking an experienced AI/ML Platform Engineer to design and deliver enterprise-scale AI and machine learning solutions on Azure and GCP. This role focuses on enabling AI/ML capabilities across the organization, helping teams build, deploy, and scale intelligent solutions securely and efficiently. You will work closely with cloud, security, and engineering teams to build robust platforms, automate AI/ML workflows, and ensure compliance with enterprise standards. Key Responsibilities Design and implement scalable AI/ML platforms and services on Azure (and GCP) Enable and support Generative AI and ML use cases across the business Build and maintain MLOps pipelines for model training, deployment, and monitoring Develop infrastructure as code using Terraform and CI/CD pipelines (GitHub Actions) Integrate AI/ML services with enterprise systems via APIs and webhooks Ensure secure deployment of data and models, following cloud security and compliance standards Collaborate with cross-functional teams (cloud, security, risk, development) Troubleshoot cloud infrastructure, networking, and performance issues Support automation of AI/ML services and platform capabilities Contribute to DevOps practices within an Agile environment Required Skills & Experience 3+ years experience as an AI/ML Platform Engineer or similar role Strong experience with Azure (preferred) and/or GCP cloud platforms Proficiency in Python, APIs, and automation scripting Hands-on experience with Terraform, CI/CD pipelines, and GitHub Actions Experience with MLOps/AIOps practices and model lifecycle management Knowledge of Generative AI, RAG architectures, and LLM frameworks (e.g., LangChain, Semantic Kernel) Understanding of AI ecosystem tools (evaluation, monitoring, vector databases, governance) Experience integrating AI/ML services into enterprise applications Strong understanding of cloud security, RBAC, and data protection principles Ability to troubleshoot Azure networking (DNS, connectivity, routing) Strong analytical, problem-solving, and communication skills Nice to Have Experience in financial services or regulated environments Familiarity with agentic AI platforms or Copilot ecosystems Knowledge of PKI and certificate management in cloud environments What We’re Looking For A self-starter who can work independently and in a team Strong critical thinking and problem-solving abilities Passion for AI/ML and continuous learning

Design and implement scalable AI/ML platforms and MLOps pipelines on Azure and GCP. Collaborate with cross-functional teams to enable Generative AI use cases and ensure secure, compliant cloud deployments.

Requires 3+ years of experience as an AI/ML Platform Engineer with proficiency in Python, Terraform, and cloud infrastructure. Candidates should have hands-on experience with LLM frameworks and MLOps practices.

Identified from the job description. Confirm important requirements above.

• Azure
• GCP
• Python
• Terraform
• CI/CD
• GitHub Actions
• MLOps
• Generative AI
• RAG Architectures
• LLM Frameworks
• LangChain
• Semantic Kernel
• Vector Databases
• Cloud Security
• RBAC
• API Integration

• Technology
• Software
• Data & Analytics
• Engineering
• Consulting

Minimum experience

3+ years

Apply by

Aug 23, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available