Senior MLOps Engineer

Summary:

We are currently seeking a Senior MLOps Engineer to join our Engineering team. This role is available to candidates across Canada. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days.

What your team does:

Our MLOps team builds and operates the scalable infrastructure and robust platforms that power GenAI solutions across the company. 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 data scientists, 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 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.

What you may have:

• 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 leadership skills, with the ability to mentor and guide team members effectively. 

• Demonstrated ability to fully own the design and delivery of robust, scalable solutions 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.

Serious bonus points if you have:

• Familiarity with GenAI 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 safe, reliable, and compliant GenAI operations.

• Experience working with Sagemaker and Agentic Frameworks (Pyndantic)

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
 

Some highlights of our Total Rewards program include:

• 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​

The full salary range* for this role is $154,700 to $182,000 to $209,300 CAD.Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility 

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

Disclaimer: We only communicate with candidates through official @clio.com email addresses.