Senior MLOps Engineer (AI)

Location: Remote in the United States or Canada. Occasional travel for company-wide or departmental meetings is expected, typically 1–2 times per year.

Base salary: $150,000–$200,000 CAD per year.

Company

hirify.global develops software that helps governments deliver better citizen experiences, including CivCheck, an AI platform for plan review and building code compliance.

What you will do

• Design, build, and maintain end-to-end ML pipelines for training, evaluation, deployment, and agentic AI workflows.
• Build and optimize cloud infrastructure for model training and serving across cloud providers and GPU compute environments.
• Develop tooling for data pipelines, data labeling, experiment tracking, automated retraining, and performance monitoring.
• Collaborate with AI researchers and ML engineers to productionize proofs of concept and ensure reproducibility and scalability.
• Implement CI/CD, automated testing, deployment workflows, and infrastructure provisioning for ML systems.
• Monitor model health, performance, drift, and data quality while optimizing training costs and system performance.

Requirements

• 6–10+ years of software or ML engineering experience, including at least 3 years in MLOps or ML infrastructure.
• Professional experience with Python, C, C++, and Bash.
• Experience deploying and managing ML models in production.
• Proficiency with Docker, Kubernetes, cloud platforms such as AWS, GCP, or Azure, and GPU orchestration.
• Hands-on experience with CI/CD pipelines, including GitHub Actions, Jenkins, or similar tools.
• Understanding of data versioning, model reproducibility, monitoring strategies, and collaborative software engineering.

Nice to have

• Experience training models from scratch and taking them from research through monitored production.
• Knowledge of quantization, distillation, TensorRT, or ONNX.
• Experience with Terraform or CloudFormation, distributed systems, high-performance computing, or open-source contributions.
• Familiarity with MLflow, Weights & Biases, Kubeflow, or similar tools.

Culture & Benefits

• Remote work with occasional in-person company or departmental meetings.
• Competitive compensation, paid time off, and benefits supporting employees and their families.
• A culture focused on ownership, continuous learning, direct communication, customer focus, and inclusion.
• Comprehensive background checks are required before joining.