Senior Cloud Engineer – ML/AI Platform
KTek ResourcingRole Overview
KTek Resourcing is hiring a Senior Cloud Engineer – ML/AI Platform. This is a contract role in Toronto. Part of KTek Resourcing's Security hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Job Title :- Senior Cloud Engineer – ML/AI Platform
Location :- Toronto, ON
About the Role
We are seeking a Senior Cloud Engineer with deep expertise in AWS and Azure AI/ML services to drive our enterprise ML/AI platform capabilities. You will evaluate and enable cloud AI/ML services, build reusable architectural patterns, and develop automated MLOps solutions in a highly regulated banking environment. This role requires hands-on experience with modern AI/ML platforms and the ability to design secure, compliant solutions that accelerate AI adoption across the organization.
What You Will Do
- Evaluate and enable AWS and Azure AI/ML services (SageMaker, Bedrock, Azure OpenAI, Azure AI Foundry) through proof-of-concepts and comprehensive assessments
- Design and implement reusable architectural patterns for secure AI/ML integrations including private endpoints, customer-managed keys, and service-to-service authentication
- Build end-to-end MLOps platforms and automated ML pipelines for model training, evaluation, deployment, and monitoring
- Produce technical reports on security, networking, compliance, guardrails, and cost analysis for AI/ML service enablement
- Develop frameworks, infrastructure-as-code, and automation to accelerate AI/ML adoption
- Implement observability solutions with model monitoring, metrics, and drift detection
- Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps
- Provide technical leadership and mentorship on AI/ML cloud best practices
What You Need to Succeed
Must Have
- 5–7 years of cloud engineering experience with 3+ years focused on AI/ML platforms
- Deep hands-on expertise with AWS AI/ML services: SageMaker (training, pipelines, inference, JumpStart), Bedrock
- Deep hands-on expertise with Azure AI/ML services: Azure Machine Learning, Azure OpenAI, Azure AI Foundry
- Experience building MLOps platforms and automated ML pipelines
- Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval-augmented generation), and prompt engineering
- Experience implementing guardrails and governance for LLM services
- Proficiency in Python and infrastructure-as-code (Terraform, CloudFormation, ARM/Bicep)
- Experience with MLflow (or similar tool), experiment tracking, and model registries
- Expertise in cloud security patterns including private endpoints, customer-managed keys, and network isolation for AI/ML services
- Strong understanding of cloud networking architecture in regulated environments
- Experience working in highly regulated industries with compliance requirements
- Agile delivery experience.
Nice to Have
- AWS or Azure AI/ML certifications
- Experience with vector databases and embedding models
- Knowledge of model optimization and inference acceleration
- Background in financial services or banking
Frequently Asked Questions
How do I apply for the Senior Cloud Engineer – ML/AI Platform position at KTek Resourcing?
Use the Apply button above to submit your application directly to KTek Resourcing. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Cloud Engineer – ML/AI Platform position at KTek Resourcing located?
This position is based in Toronto. KTek Resourcing has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Cloud Engineer – ML/AI Platform at KTek Resourcing earn?
KTek Resourcing has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Cloud Engineer – ML/AI Platform role at KTek Resourcing posted?
This role was posted on May 5, 2026 (49 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Cloud Engineer – ML/AI Platform role at KTek Resourcing require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. KTek Resourcing lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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