Machine Learning Platform Engineer, Clio

• Solid Python or Ruby on Rails development skills, with experience building production-grade applications, services, or ML tooling
• Expertise in cloud infrastructure (AWS, GCP, or Azure), including Kubernetes, and infrastructure-as-code (Terraform, Helm, or similar)
• Experience with CI/CD and automating model training, testing, and deployment pipelines
• Understanding of machine learning and AI concepts, workflows, and lifecycle management
• Ability to take ownership of features and solutions, contributing to design and delivery from concept through implementation
• You excel at breaking down complex, challenging problems into manageable parts and iterating toward effective solutions
• You are naturally curious and love to dig deep into problems, constantly asking, “why?”
• You communicate clearly and concisely, regardless of the medium (text, voice, or in-person)
• You value collaboration and proactively seek to build context to power your decisions
• You have a team-first mentality and will naturally support co-workers when you sense they are facing difficulty
• Demonstrate a keen interest in improving your craft by using AI

Desirable

• We are currently seeking a ML Platform Engineer to join our Engineering team
• This role is available to candidates across Canada
• If you are local to our Toronto, Calgary, or Burnaby hubs, then you will be expected to be in office minimum two days per week for our Anchor Days
• Our ML Platform team builds and operates the scalable infrastructure and robust platforms that power AI solutions across Clio
• We blend deep AI and ML expertise with strong software engineering and cloud infrastructure skills to enable the entire lifecycle of machine learning and generative AI - spanning experimentation, deployment, monitoring, and continuous improvement
• By applying best practices in CI/CD, observability, cost optimization, and model governance, and leveraging state-of-the-art tools and frameworks, we ensure our AI systems are reliable, performant, and aligned with business goals
• We partner closely with ML engineers, data engineers, and product teams to accelerate the delivery of impactful AI capabilities
• What a day in the life might look like:
• Build and deploy LLM-based solutions that help Clio’s customers save time and improve operational efficiency
• Collaborate cross-functionally with engineering, product management, operations, and data science to identify and develop new ML-driven features
• Evaluate and integrate new ML tools and frameworks to accelerate experimentation and optimize operations
• Troubleshoot and resolve production issues such as data drift and model latency using observability tools and logs
• Participate in design reviews and contribute to architectural decisions shaping Clio’s AI platforms
• Engage in code reviews within your team and across the company, providing and receiving constructive feedback to maintain high standards
• Continuously learn, challenge yourself, and grow as a machine learning expert while learning from and collaborating with teammates