Why join us?
Bombardier is a global leader in aviation, focused on designing, manufacturing and servicing the world's most exceptional business jets and specialized mission platforms.
Bombardier has been successful in setting the highest standards because we are a people-centric business that fosters passion, diversity and authenticity.
Prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms.
Our Benefits
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following :
- Insurance plans ( Medical, life insurance, and more )
- Employee Assistance Program
- Competitive base salary
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 Bombardier's 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 system's execution flow.
- Participate in designing, implementing, and optimizing maintainable and reusable ML services that enhance Bombardier's data and advanced analytics solutions.
- Assist in analyzing, processing, and modeling data, and help interpret the results to create actionable plans that positively impact Bombardier's operations.
- Work on configuring robust environments that handle data and microsystem connections, enabling ML workflows.
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 are proficient speaking English and French
- 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.
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.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
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