Senior ML Ops Engineer — Production ML Pipelines

Greenhouse; Remote; CAD 143,000 - 214,000; Full time

Job summary

A leading hiring solutions company based in Canada is seeking a Senior ML Ops Engineer. In this role, you'll operationalize ML workloads and manage CI/CD pipelines to enhance our machine learning capabilities. Candidates should have significant experience in MLOps and cloud infrastructure, especially with AWS and Kubernetes. Join a collaborative and inclusive culture focused on impactful solutions. Competitive salary range of CAD 143,000 - 214,000, with additional compensation opportunities.

Benefits

Competitive salary

Opportunity for bonuses

Flexible work environment

Qualifications

• Proven experience in an MLOps, DevOps, or a related software engineering field.
• Experience implementing safe, ethical, and compliant ML systems.
• Strong cloud infrastructure experience with AWS.

Responsibilities

• Operationalize ML and LLM-based workloads, gather stakeholder feedback.
• Create, manage, and improve continuous integration and delivery pipelines.
• Implement observability practices for ML systems.

Skills

MLOps experience

Cloud infrastructure expertise

Kubernetes

Infrastructure as Code (IaC)

Data quality management

Education

Proven software engineering experience

Tools

AWS

Terraform

Argo CD

ML frameworks (PyTorch, MLFlow)

Job description

A leading hiring solutions company based in Canada is seeking a Senior ML Ops Engineer. In this role, you'll operationalize ML workloads and manage CI/CD pipelines to enhance our machine learning capabilities. Candidates should have significant experience in MLOps and cloud infrastructure, especially with AWS and Kubernetes. Join a collaborative and inclusive culture focused on impactful solutions. Competitive salary range of CAD 143,000 - 214,000, with additional compensation opportunities.