MLOps Engineer

Kitchener
Job Type Permanent
Job ID 16907
Salary $0.00
Job Description

Title: MLOps Engineer
Location:
Kitchener-Waterloo, ON
Type: Full Time Permanent
Salary: TBD
Benefits: Dental Care, Vision Care, Disability Insurance, Extended Health Care, Life Insurance, Wellness Program, Company Events, Flexible Schedule, Paid Time Off, Casual Dress,

 

About 

Our client's machine learning platforms leverage automotive assembly and vehicle data to detect the earliest indicators of future product failures. They help automakers optimize quality, safety, and reliability throughout the entire product life cycle, from the assembly line to the finish line.

 

About this job

As a MLOps Engineer at our client, you will work closely with the Data Science, UI and Backend Engineering departments to create a full machine learning lifecycle and develop tools for client’s LinePulse and AutoPulse products. Their LinePulse SaaS platform enables automakers to identify anomalies in production data for enhanced testing, accelerated root cause analysis, and improved manufacturing output. Our client’s AutoPulse SaaS platform enables predictive maintenance of connected and autonomous vehicles based on production, maintenance and on-road data.

 

What they are looking for:

 

 Must Have

  • Solid grasp of software engineering fundamentals   
  • 3 - 5 years of programming exp (primarily backend)
  • Proficiency in Python for both ML and automation
  • Hands-on experience with Infrastructure as Code tools e.g., terraform/chef
  • Solid experience with cloud platforms - AWS/Azure/GCP is highly desired
  • Hands-on experience with deploying containerized/Docker applications on cloud
  • Experienced in implementing CI/CD pipelines with Jenkins or Azure Pipelines 
  • Good understanding of fundamental ML concepts. Hands-on experience in model deployment preferred.
  • Hands-on experience with building scalable, reliable and maintainable cloud native microservices

Nice to Have

  • Experience in productionizing of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning)
  • Hands-on experience with test automation
  • Familiarity with Agile framework (Scrum/Kanban) JIRA/Azure Boards 
  • Hands-on experience with of monitoring, alerting and visualizing key ML metrics 

If you have the skills and experience that we are looking for to be successful in this role, please submit your resume to Masood Noor by email at masood@winterstaffing.com

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