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Devops Jobs in Oshawa, ON

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Last updated: 3 days ago

MLOps Engineer - MLEAS

NavitasPartnersOshawa, Ontario, Canada
Full-time

The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models.Implement CI/CD for machine learning workloads... Show more

Staff Software Architect – DevOps

General MotorsOshawa, Ontario, Canada
CA$137,300.00 yearly
Full-time

This posting is for an existing vacancy within the organization and is open to new applications.As part of the application process, Artificial Intelligence will be used in the hiring process for th... Show more

Sr. QA Automation Engineer Developer

Spirit Omega IncOshawa, ON, CA
Full-time
Quick Apply

The primary purpose of this job is to ensure the quality, reliability, and efficiency of software products through comprehensive test automation strategies and frameworks.This rating depicts the or... Show more

Senior DevOps/Cloud Engineer

Randstad CanadaOshawa, Ontario, CA
Temporary
Quick Apply

We are seeking a highly accomplished Senior DevOps/Cloud Engineer to lead the architectural design, automation, and ongoing optimization of cloud-based contact center infrastructure and modern web ... Show more

25-167 Senior Data Engineer (Azure Data Factory / Databricks) - 12 month contract - Oshawa - hybrid

CorGTAOshawa, ON, Canada
CA$85.00 hourly
Remote
Temporary

Senior ​​Data Engineer (Azure Data Factory / Databricks).Oshawa, ON (Hybrid 3 days remote).We have a great new opportunity to support one of our Energy Sector clients in a contract capacity!.Please... Show more

Senior QA Automation Engineer Developer

Spirit Omega Inc.Oshawa, ON, CA
Full-time
Quick Apply

Resume Due Date: Monday, June 15th, 2026 (5:00PM EST).The primary purpose of this job is to ensure the quality, reliability, and efficiency of software products through comprehensive test automatio... Show more

MLOps Engineer - MLEAS

MLOps Engineer - MLEAS

NavitasPartnersOshawa, Ontario, Canada
11 days ago
Job type
  • Full-time
Job description
Job Title: MLOps Engineer

Position Overview:
The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models.

Key Responsibilities:

  • Build ML deployment pipelines.
  • Implement CI/CD for machine learning workloads.
  • Automate model retraining and validation.
  • Establish model monitoring and observability.
  • Manage ML infrastructure and environments.
  • Ensure compliance and governance requirements.

Required Skills:

  • MLOps
  • MLflow
  • Kubeflow
  • Docker
  • Kubernetes
  • Python
  • GitHub Actions
  • Azure DevOps
  • Terraform
  • Monitoring Tools

Required Qualifications:

  • Bachelor's degree in Computer Science or related field.
  • 5+ years of MLOps or ML Engineering experience.

Mandatory Industry Experience:

  • Must have prior BFSI experience supporting regulated AI/ML environments, model governance, risk management, fraud analytics, or financial decisioning systems.


For more details reach at resumes@navitassols.com