Take your career to new heights with Loopio!

Were looking for a skilled and motivated MLOps Engineer to help scale and productionize the machine learning systems that power Loopios intelligent product features. In this role youll work closely with ML Engineers Data Scientists and Backend Engineers to build the pipelines infrastructure and tooling needed to deliver highimpact ML models to our users; reliably efficiently and at scale.

Youll be a critical part of enabling our AI/ML roadmap from intelligent search and content suggestions to document automation and agent copilots by ensuring models can be deployed monitored and continuously improved in production environments.

This is a great opportunity to grow your expertise in applied MLOps contribute to highleverage systems and be part of a fastmoving collaborative team working at the intersection of ML engineering and product.

What Youll Be Doing

• Pipeline & Workflow Development: Build and maintain robust ML pipelines for training evaluation and deployment. Automate routine workflows and support reproducible auditable experimentation.

• Model Deployment & Inference: Package and deploy models into production environments using tools like Docker Kubernetes and SageMaker. Build REST/gRPC services to serve models in realtime or batch.

• Monitoring & Reliability: Help implement systems to monitor model health in production detect drift and log predictions. Contribute to alerting and dashboarding that helps the team maintain trust in deployed models.

• CI/CD for ML: Work within our CI/CD systems to support model validation promotion and rollback. Help build safe automated workflows for taking models from development to deployment.

• Collaboration & Support: Partner with ML Engineers and Data Scientists to bring ML systems into production. Contribute to shared libraries improve developer experience and help debug operational issues. Partner with Infra and DevOps teams to understand their tooling deeply in order to help implement ML systems and related cloud architecture.

What Youll Bring to the Team

• MLOps Experience: 2 years of experience working in ML operations ML engineering or related infrastructure roles. Familiarity with deploying ML models and automating ML pipelines.

• Cloud & Infrastructure Skills: Comfort working with AWS (or similar cloud environments) Docker and Kubernetes. Experience with workflow orchestration tools like Airflow Dagster or Kubeflow is a plus.

• Software Engineering Foundation: Strong Python development skills with a solid understanding of software engineering practices (testing logging version control code review).

• Model Deployment & Monitoring Tools: Experience with tools such as MLflow SageMaker TensorFlow Serving or TorchServe. Bonus: handson experience implementing model monitoring or drift detection systems.

• Team Collaboration: Comfortable working crossfunctionally with technical and nontechnical stakeholders. Curious communicative and open to feedback. Willing to learn from others and share what you know.

• Growth Mindset: Youre excited about learning the ins and outs of ML systems in production. You bring energy ownership and a desire to build things that are both elegant and effective.

Where Youll Work

• Loopio is a remotefirst workplace because we recognize the advantages of working flexibly. We are HQd in Canada with established hub regions around the world where we hire from.

• Our employees (or Loopers as we call ourselves!) live and work in Canada (British Columbia and Ontario) London and India (specifically in Gujarat Maharashtra and Bengaluru).

• The majority of our team is based in ON and BC which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC).

• We offer flexible coworking locations available to Loopers in ON and BC. Those based in ON have the option of working out of our convenient coworking space located in the heart of Downtown Toronto and a 12minute walk from Union Station. BC Loopers have the option to work centrally in Vancouver. It is whatever works best for you!

• Youll collaborate with your teams virtually across the UK India and North America (were just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday

• We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why Youll Working at Loopio

• Your manager supports your development by providing ongoing feedback and regular 1on1s we leverage Lattice for our 1:1s and performance conversations

• You will have the opportunity to elevate your craft and the opportunity to explore your creativity with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.

• We offer a wide range of health and wellness benefits to support your physical and mental wellbeing starting day 1 with Loopio.

• Well set you up to work remotely with a MacBook laptop a monthly phone and internet subsidy and a workfromhome budget to help get your home office all set up.

• Youll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.

• Participate in townhalls AMA (AskMeAnything) and quarterly celebrations to celebrate the big wins and milestones as #oneteam!

• Our four active Employee Resource Groups offer opportunities for employees to learn and connect yearround.

• Youll be a part of an awardwinning workplace with an opportunity to make a big impact on the business.

Questioning your qualifications Read this Hi there we recognize that all too often potential candidates dont apply for a position simply because they dont hit every single criteria included in the job descriptionparticularly members of underrepresented groups.

Whether or not your experience checks off all the boxes on a job posting we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage so weve created prompts in the application for you to share more about yourself. If youve made a career transition (or a few!) youre self taught in a new role or you have skills/experience youd like to highlight we want to hear more about what you could bring to the table.

AI in Recruitment At Loopio we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening drafting preliminary job descriptions generating initial interview questions and occasionally sourcing prospective candidates. However AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team () should you require accommodations at any point during our virtual interview processes.