Build and deploy LLM-based solutions that help Clio’s clients 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.
Work agilely alongside MLOps, MLE, and full stack developers on diverse projects spanning multiple engineering teams across three countries.
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 mentoring and collaborating with teammates.
Requirements
Strong Python or Ruby 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.
Solid understanding of machine learning and GenAI concepts, workflows, and lifecycle management.
Demonstrated ability to contribute to the design and delivery of robust, scalable solutions from concept through implementation.
Benefits
Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days.
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
Applicant Tracking System Keywords
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