Machine Learning Engineer

1 week ago


Mississauga, Ontario, Canada Bombarbier Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Bombardier. As a Machine Learning Engineer, you will be responsible for developing and deploying machine learning solutions that meet the needs of our organization.

Key Responsibilities
  • Collaborate with experienced Machine Learning Engineers to develop and deliver machine learning solutions.
  • Assist in the deployment of machine learning models within the production data science environment.
  • Contribute to the development of tools for monitoring the machine learning life cycle and providing observability into the system's execution flow.
  • Participate in designing, implementing, and optimizing maintainable and reusable machine learning services.
  • Assist in analyzing, processing, and modeling data, and help interpret the results to create actionable plans.
  • Work on configuring robust environments that handle data and microsystem connections, enabling machine learning workflows.
  • Collaborate with the Artificial Intelligence team to gather requirements and feedback to maximize value for the business units.
  • Contribute to implementing continuous integration and deployment methods to automate quality assurance and the delivery of new functionality to machine learning solutions users.
Requirements
  • Experience and a strong interest in analytics, data science, and computer engineering.
  • Familiarity with cloud computing platforms and Microsoft Azure's advanced analytics tools.
  • Experience developing machine learning algorithms and willingness to learn about Docker and software packaging.
  • Proficiency with Python and familiarity with PySpark, Linux scripting, or PowerShell scripting.
  • Interest in agile project management and application lifecycle management, including familiarity with Azure DevOps or Gitlab.
  • Strong problem-solving and debugging skills.
About Bombardier

Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability, or other applicable legally protected characteristics to apply.



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