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Machine Learning Analyst
3 months ago
When applicable, Bombardier promotes flexible and hybrid work policies.
Why choose Bombardier?
At Bombardier, we design, construct, and maintain the world's highest-performing aircraft for the most discerning clients, including businesses, governments, and military organizations. Our success is built on setting the highest standards by placing our employees at the center of everything we do, defining excellence together.
Working at Bombardier means operating at the pinnacle of the industry. Each day, you will be part of a team that delivers exceptional experiences and products, pushing the limits of what is achievable in our field and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, as the best work is achieved when individuals can be themselves and share their unique expertise.
Bombardier's Benefits Program
With our employees' well-being as a priority, we offer a comprehensive and competitive Benefits Program, which includes:
- Insurance plans (Dental, medical, life insurance, disability, and more)
- Competitive base salary
- Retirement savings plan
- Employee Assistance Program
- Tele Health Program
Your contributions to the team:
• Collaborate with experienced Machine Learning Engineers (MLEs) to develop and deliver machine learning (ML) solutions tailored to Bombardier's needs.
• Assist in deploying ML models within the production data science environment, adhering to best practices, pipeline controls, and maintaining clear documentation.
• Contribute to the creation of tools for monitoring the machine learning life cycle and providing visibility 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 manage 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 and improving existing ML products.
How to excel 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 have previously developed machine learning algorithms.
• You are willing to learn about Docker and software packaging and the ML production lifecycle.
• You are familiar with software architecture and modular software development. Proficiency in Python is essential. Familiarity with PySpark is a plus.
• You have experience 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 to possess 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
Employee Status Regular
Requisition 4452 Analyst, Machine Learning Engineering
