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

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

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.
Flexible time off policy, with an encouraged 20 days off per year.
$2000 annual counseling benefit
RRSP matching and RESP contribution
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

ML Platform Engineer

Key skills