When applicable, Bombardier promotes flexible and hybrid work policies.
Why join us?
At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of whats possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
Bombardier’s Benefits Program
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
- Insurance plans (Dental, medical, life insurance, disability, and more)
- Competitive base salary
- Retirement savings plan
- Employee Assistance Program
- Tele Health Program
What are your contributions to the team?
• Collaborate with experienced Machine Learning Engineers (MLEs) to develop and deliver machine learning (ML) solutions that meet the needs of Bombardiers organization.
• Assist in the deployment of ML models within the production data science environment, following best practices, pipeline controls, and maintaining clear documentation.
• Contribute to the development of tools for monitoring the machine learning life cycle and providing observability into the systems execution flow.
• Participate in designing, implementing, and optimizing maintainable and reusable ML services that enhance Bombardiers data and advanced analytics solutions.
• Assist in analyzing, processing, and modeling data, and help interpret the results to create actionable plans that positively impact Bombardiers operations.
• Work on configuring robust environments that handle data and microsystem connections, enabling ML workflows.
• Collaborate with the Artificial Intelligence (AI) team members, learning agile project management methodologies (e.g., Scrum, Kanban) and application lifecycle management practices (e.g., test automation, configuration management).
• Engage with users and business stakeholders 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 ML solutions users.
• Provide support for troubleshooting/improving existing ML products.
How to thrive in this role?
• You have experience and a strong interest in analytics, data science, and computer engineering
• You are familiar with, and open to gaining experience, using cloud computing platforms.
• You have experience using Microsoft Azure’s advanced analytics tools (e.g., Azure Data Factory, Azure Databricks, Azure Machine Learning).
• You developed machine learning algorithms before.
• You are willing to learn about Docker and software packaging and ML production lifecycle.
• You are familiar with software architecture, and modular software development. Proficiency with Python is a must. Familiarity with PySpark is a plus.
• You have familiarity with Linux scripting or PowerShell scripting.
• You are interested in agile project management and application lifecycle management, including familiarity with Azure DevOps or Gitlab.
• You possess strong problem-solving and debugging skills.
Please note: You don’t need all the skills, knowledge, and experience listed for this position! We’re not looking for the perfect candidate, we’re looking for great talent and resourcefulness.
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.
Job Analyst, Machine Learning Engineering
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Shift
Employee Status Regular
Requisition 4452 Analyst, Machine Learning Engineering
