Senior MLOps Engineer

About Clio: Clio is the market leader in legaltech products, recently raising a Series F round of 1.4 billion CAD to a valuation of 4 billion CAD, making it the largest Canadian tech funding in history. We are committed to building innovative cloud-based solutions that streamline workflows for law firms globally. Our engineering team collaborates across disciplines to design, build, and refine features that meet the evolving needs of legal professionals. Dependability is at the core of everything we do, with competitive salaries, equity options, and a comprehensive benefits package. We embrace a remote-first culture with flexible schedules.

About The Role: We are seeking a Senior MLOps Engineer to build and maintain the infrastructure that powers our machine learning applications. This role involves designing scalable systems that support our growing AI initiatives.

Key Responsibilities:

• Design and implement MLOps solutions for deploying and managing ML models
• Develop CI/CD pipelines for machine learning
• Optimize ML infrastructure for cost and performance
• Monitor and maintain ML systems in production
• Collaborate with data scientists and ML engineers to operationalize models
• Stay current with MLOps best practices and tools
• Improve the scalability and reliability of our ML infrastructure

Required Skills and Ideal Candidate:

• Proven experience in MLOps and ML infrastructure
• Strong programming skills in Python, Ruby, or similar languages
• Experience with cloud platforms (AWS, GCP, Azure)
• Knowledge of containerization (Docker, Kubernetes)
• Familiarity with infrastructure as code (Terraform, CloudFormation)
• Understanding of ML deployment patterns and best practices
• Experience with monitoring and observability tools
• Ability to balance technical requirements with business needs
• Bachelor’’s degree in Computer Science, Engineering, or related field