Senior Machine Learning Operations Engineer (AI)

TL;DR

Senior Machine Learning Operations Engineer (AI): Building and operating scalable infrastructure and robust platforms for AI solutions across the legal technology domain with an accent on LLM-based solutions, CI/CD, and model governance. Focus on optimizing AI lifecycle management, resolving production issues like data drift and latency, and designing scalable MLOps architectures.

Location: Hybrid (Toronto hub) - minimum two days per week in office

Salary: $154,700 – $209,300 CAD

Company

Global leader in legal AI technology empowering legal professionals to work smarter and more securely.

What you will do

• Build and deploy LLM-based solutions to improve operational efficiency for customers.
• Collaborate cross-functionally with engineering, product, and data science teams to develop ML-driven features.
• Evaluate and integrate new ML tools and frameworks to optimize operations and experimentation.
• Troubleshoot production issues, including data drift and model latency, using observability tools.
• Contribute to architectural decisions and design reviews for AI platforms.
• Mentor teammates and participate in code reviews to maintain high engineering standards.

Requirements

• Proficiency in Python or Ruby on Rails for production-grade applications or ML tooling.
• Expertise in cloud infrastructure (AWS, GCP, or Azure) and Kubernetes.
• Experience with Infrastructure-as-Code using Terraform, Helm, or similar tools.
• Strong knowledge of CI/CD and automating ML training and deployment pipelines.
• Understanding of machine learning and AI lifecycle management.
• Demonstrated leadership and mentoring skills.

Nice to have

• Familiarity with AI observability tools (logging, metrics, tracing).
• Experience with ML governance, responsible AI, and secure AI operations.
• Proficiency in developing guardrails for compliant AI operations.

Culture & Benefits

• Competitive salary with comprehensive health, dental, and vision insurance.
• Hybrid work environment with a balance of office and remote work.
• Flexible time off policy (encouraged 20 days per year).
• $2,000 annual counseling benefit.
• RRSP matching and RESP contributions.
• hirify.globalversary recognition program for long-term employees.