ML Platform Engineer
About The Position
Clio is seeking an ML Platform Engineer to join their Engineering team, with the role available to candidates across Canada. Those local to Toronto, Calgary, or Burnaby hubs will be expected to be in the office a minimum of two days per week for Anchor Days. The ML Platform team is responsible for building and operating scalable infrastructure and robust platforms that power AI solutions across Clio. They combine AI/ML expertise with software engineering and cloud infrastructure skills to manage the entire lifecycle of machine learning and generative AI, including experimentation, deployment, monitoring, and continuous improvement. The team applies best practices in CI/CD, observability, cost optimization, and model governance, utilizing state-of-the-art tools and frameworks to ensure AI systems are reliable, performant, and aligned with business goals. They collaborate closely with ML engineers, data engineers, and product teams to accelerate the delivery of impactful AI capabilities.
Requirements
- 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
Nice To Haves
- Familiarity with AI observability tools (logging, metrics, tracing) to monitor and debug AI systems
- Awareness of ML governance, responsible AI, and best practices for secure, compliant AI operations
- Proficient in developing and utilizing guardrails to ensure secure, reliable, and compliant AI operations
Responsibilities
- 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
Benefits
- Competitive, equitable salary
- Top-tier health benefits
- Dental insurance
- Vision insurance
- Hybrid work environment
- Flexible time off policy, with an encouraged 20 days off per year
- $2000 annual counseling benefit
- RRSP matching
- RESP contribution
- Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
