Associate Data Engineer MLOps

Gore Mutual Insurance; Toronto, Cambridge; Hybrid; CAD 57,000 - 95,000; Full time

Job summary

A modern mutual insurance company in Toronto seeks an Associate Data Engineer - MLOps to develop and maintain infrastructure for machine learning and AI models. You will design data pipelines, optimize workflows, and ensure adherence to industry standards. The ideal candidate has a graduate degree in a technical field, strong proficiency in Python and SQL, and knowledge of data pipeline frameworks like Databricks. The salary range for this role is $57,500 to $95,000, with opportunities for bonuses and a comprehensive benefits package.

Benefits

Extended health and dental benefits

Disability insurance

Retirement plan matching

Paid time off

Qualifications

• Graduate degree in Analytics, Data Science, or a related subject.
• Excellent understanding of Object‑Oriented and Functional programming.
• Experience with data pipeline frameworks and MLOps tools.
• Ability to analyze various types of datasets.

Responsibilities

• Design, build, and maintain data pipelines for AI/ML models.
• Optimize data workflows for efficient processing.
• Collaborate with data scientists for integration of solutions.
• Ensure compliance with security and regulatory requirements.

Skills

Proficiency in Python

Proficiency in SQL

Attention to detail

Problem-solving skills

Education

Graduate degree in a technical field

Tools

Databricks

MLflow

Kubeflow

Azure Data Factory

Job description

Next Horizon is here. Fueled by investments in talent and technology, our bold strategy to transform is nearly complete.

At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.

Our path forward sharpens our focus on business performance, driven by leading technology, innovation and an agile, high‑performing culture. With Gore Mutual and Beneva announcing their intent to merge in 2026, we’ll be uniting two well‑established, financially strong, and trusted brands to become the strongest mutual insurer in Canada, ensuring Canadians have purpose‑driven insurance options for generations to come. Come join us.

The Data Engineering practice at Gore Mutual Insurance is going through an exciting transformation to modernise technologies and approaches, and to better enable a data‑driven future for the company.

The Associate Data Engineer - MLOpsis is responsible for developing and maintaining the necessary infrastructure for deploying, monitoring, and optimising machine learning (ML) and AI models, and maintaining scalable data infrastructure. It plays a pivotal role in designing, and implementing robust data and analytics pipelines, ensuring the scalability and reliability of our ML and AI systems, and collaborating with cross‑functional teams to advance our data‑driven initiatives. The role will also support several exciting ongoing data migration, acquisition, and development projects, aligning with our new strategic data priorities.

What will you do in this role:

• Design, build, and maintain pipelines that support the development and maintenance of AI/ML models, data ingestion, transformation, and storage of large‑scale datasets.
• Optimize data workflows to ensure efficient data processing and availability.
• Develop and implement best practices for deploying, monitoring, and managing robust data and analytics pipelines and AI/ML models in production.
• Collaborate with data scientists to ensure seamless integration and deployment of AI/ML solutions.
• Support internal business clients such as Data Scientists and Visualization Specialists with their various data needs in collaboration with other Data Engineering team members.

Security and Compliance

• Ensure that data engineering and MLOps/AgentOps processes adhere to industry standards, regulatory requirements, and security best practices.
• Implement measures to safeguard sensitive data and protect against potential vulnerabilities.

What skills you need to be successful:

• A graduate degree in a technical field with a specialization in Analytics, Data Science, or a related subject.
• Proficiency in Python and SQL.
• Excellent understanding of Object‑Oriented and Functional programming paradigms.
• Knowledge of data pipeline frameworks (e.g., Databricks) and MLOps tools (e.g., MLflow, Kubeflow).
• Experience with MLOps/AgentOps architecture, data modelling, and database systems.
• Experience working with and analysing structured, semi‑structured, and unstructured datasets.
• Knowledge of data modelling approaches and best practices.
• Familiarity with the Azure platform; knowledge of core data services such as Data Factory, Event Hubs, Databricks, Data Warehouse, etc.
• High attention to detail and a commitment to delivering high‑quality solutions.
• Exceptional problem‑solving and analytical skills.

Nice to Have:

• Experience with large‑scale data migration projects.

#LI‑Hybrid

The expected base salary range for this position is $57,500 - $95,000. Depending on your relevant experience, skills, qualifications, market conditions and business needs, base compensation may vary. You have the potential to earn more through Gore Mutual’s discretionary bonus programme which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.

Please note: This range reflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process, we will discuss and consider how your unique qualifications align with the broader range for this position.

Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programmes.

This posting pertains to an existing vacancy that is actively being filled.

Accessibility for applicants

Gore Mutual Insurance Company is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process.

If you require accommodation because of a disability, we will work with you to meet your needs. Contact us and a human resources representative will consult with you to determine an appropriate accommodation.

Should you request an accommodation during the interview process, please notify your Talent Acquisition Consultant.