Job ID: 10373

Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Calgary, AB; Edmonton, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON.

Working Business Language: English

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free perks and pension plan.

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $110,000 - $160,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About The Wawanesa Mutual Insurance Company

Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada’s largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026,



Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.

Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer works closely with Business Stakeholders, Data Analysts, Data Scientists, and ML Engineers within Analytics Exploration to transform business opportunities into scalable, production-grade AI and machine learning solutions. The role collaborates with Software Engineers, Data Engineers, Platform Engineers, and Enterprise Architecture teams to ensure robust infrastructure,



governed data pipelines, and secure MLOps practices that enable reliable deployment and management of AI and machine learning models across the enterprise.

Job Responsibilities

- Partner with Business Stakeholders and Analytics Exploration teams to identify, prioritize, and operationalize AI and machine learning use cases that deliver measurable business value.
- Design, implement, and maintain enterprise MLOps frameworks supporting model training, deployment, monitoring, governance, and lifecycle management.
- Develop and support machine learning solutions using Databricks, MLflow, Unity Catalog, Feature Store, and other cloud-native AI platforms.
- Implement model monitoring capabilities including data drift, model drift, performance monitoring, explainability, and alerting.
- Establish CI/CD and automated deployment pipelines for machine learning and generative AI solutions.
- Ensure adherence to Model Risk Management (MRM), Responsible AI, data governance, security, and regulatory compliance requirements.
- Collaborate with Platform Engineering and Architecture teams to define standards, patterns, and best practices for AI/ML solution deployment.
- Support the evaluation and adoption of emerging AI technologies, including Generative AI, LLMOps, Agentic AI, and advanced analytics capabilities.

Qualifications

- More than 5 years of experience in developing and deploying enterprise-scale machine learning solutions.
- Hands‑on experience with Databricks Lakehouse Platform, including Databricks Workflows, MLflow, Unity Catalog, Model Serving, Feature Store, and Mosaic AI capabilities.
- Experience implementing end-to-end MLOps

📌 Machine Learning Operations Engineer/Senior (Winnipeg)
🏢 Wawanesa Insurance
📍 Winnipeg