Senior MLOps Engineer – Remote in Winnipeg

Senior MLOps Engineer – Remote in Winnipeg

Winnipeg Full-Time 135000 - 165000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and deploy cutting-edge ML/AI solutions while collaborating with diverse teams.
  • Company: Wawanesa Mutual Insurance Company, a leader in innovative insurance solutions.
  • Benefits: Hybrid/remote work options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on Generative AI and advanced analytics.
  • Why this job: Join us to shape the future of AI and make a real impact in the industry.
  • Qualifications: Experience in MLOps, CI/CD pipelines, and cloud-native platforms.

The predicted salary is between 135000 - 165000 $ per year.

The Wawanesa Mutual Insurance Company is seeking a Senior Machine Learning Operations Engineer to design, deploy, monitor, and operationalize ML/AI solutions.

You will partner with stakeholders and cross-functional teams to transform opportunities into scalable, production-grade AI at scale.

You will implement CI/CD pipelines, establish governance, and ensure regulatory compliance across cloud-native platforms while supporting Generative AI initiatives and advanced analytics capabilities.

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Senior MLOps Engineer – Remote in Winnipeg employer: Wawanesa Insurance

GHD is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a hybrid environment while working on impactful projects across the Greater Toronto Area. With a strong commitment to employee growth, competitive compensation, and a focus on safety and collaboration, GHD provides a supportive atmosphere where team members can excel and contribute meaningfully to their communities.

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Contact Details:

Wawanesa Insurance Recruitment Team

We think you need these skills to ace Senior MLOps Engineer – Remote in Winnipeg

Machine Learning Operations (MLOps)
CI/CD Pipelines
Cloud-Native Platforms
AI/ML Solution Deployment
Monitoring and Operationalization of AI
Stakeholder Collaboration
Governance Implementation