MLOPs Engineer

Themis Solutions; Toronto; Hybrid; CAD 129,000 - 175,000; Full time

Job summary

A leading tech company based in Ontario is seeking an MLOps Engineer to join their team. This hybrid role involves building and deploying AI solutions, collaborating with cross-functional teams, and optimizing ML operations. The salary range for this position is $129,200 to $174,800. Candidates from Ontario are preferred and should possess strong skills in Python, cloud infrastructure, and CI/CD automation.

Benefits

Top-tier health benefits

Flexible time off policy

RRSP matching

Qualifications

• Strong Python or Ruby development skills.
• Expertise in cloud infrastructure including Kubernetes.
• Experience with CI/CD and automating model training.
• Solid understanding of machine learning and GenAI concepts.

Responsibilities

• Build and deploy LLM-based solutions for clients.
• Collaborate with engineering and data science teams on new features.
• Evaluate and integrate new ML tools and frameworks.
• Troubleshoot production issues such as data drift.

Skills

Python

Ruby

Kubernetes

AWS

GCP

Azure

CI/CD

ML tooling

Tools

Terraform

Helm

Job description

Clio is more than just a tech companywe are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice .

Summary

We are currently seeking a 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 Clios 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 Clios 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 ability to contribute to 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 Clios 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 $129200 to $152000 to $174800 note salary bands may differ based on location and local currency. Additionally benefit offerings may differ depending on the employees location.
• We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.

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 We only communicate with candidates through official @ email addresses.

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type

Full-Time

Experience

years

Vacancy

1

Monthly Salary Salary : 129200 - 174800