MLOps / ML Engineer

Company:
Location: Kitchener, ON

*** Mention DataYoshi when applying ***

About Acerta

Acerta’s machine learning platforms leverage automotive assembly and vehicle data to detect the earliest indicators of future product failures. We 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 Acerta, you will work closely with the Data Science, UI and Backend Engineering departments to create a full machine learning lifecycle and develop tools for Acerta’s LinePulse and AutoPulse products. Our LinePulse SaaS platform enables automakers to identify anomalies in production data for enhanced testing, accelerated root cause analysis, and improved manufacturing output. Acerta’s AutoPulse SaaS platform enables predictive maintenance of connected and autonomous vehicles based on production, maintenance and on-road data.

What we’re looking for:


Must haves -

  • 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 haves -

  • Experience in productionzing 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 visualising key ML metrics


What else we offer:

  • Competitive salary • Health insurance • Support for career development
  • Team lunches, game nights • Hackathons • Ping-pong tournaments

*** Mention DataYoshi when applying ***

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