Innovation is in our DNA… is it in yours?
Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
Your boarding pass will include…
Several conferences, including:
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Meet An Executive
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Women Taking Flight
Learning more about Bombardier, including:
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Bombardier Products conference
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Visits of the Bombardier sites
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Bombardier Academy of Learning
Many social/networking opportunities, including:
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Volunteering
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Networking for Success
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5 à 7, Potluck, and much more!
- Applying feature engineering concepts over given data for training models.
- Developing and optimizing Python scripts for data processing and automation.
- Delivering solutions together with experienced AI Developers and Data Solution Developers.
- Experimenting with different cloud services related to artificial intelligence.
- Deploying your solutions and monitoring their performance.
- Troubleshooting and optimizing Data Science pipelines and ML solutions.
- Researching and developing Machine Learning models with supporting data infrastructure.
- Developing, maintaining, and optimizing data flows using leading cloud solutions like Databricks.
- Applying best practices in software development and using a DevOps framework for continuous integration and deployment (CICD) of data solutions.
- The architecture and operation of a modern Machine Learning platform.
- Principles of software development with DevOps, MLOPS and CICD methodology.
- Fundamentals of cloud data solutions and AI services.
- Converting business requirements into technical and analytical solutions.
- Communication between business unit users, solution architects, data scientists, and developers.
- Methods for testing, validating, and deploying data and ML solutions into production.
- Key security elements in the development of data and ML solutions.
- The importance of data governance to accelerate the delivery of data and AI solutions.
- Approaches to feature engineering, model experimentation, and operationalization of ML models.
- You are enrolled in an undergraduate (final year) or graduate university program in computer science, engineering, or other applied science programs.
- You master Python scripting.
- You have a willingness to learn new technologies and approaches in ML and data engineering.
- You are a team player who communicates effectively.
- You can demonstrate good level of autonomy in the execution of your project.
- You are a problem-solver and a solution proposer.
- Familiarity with optimization techniques is an asset.
- Experience with feature engineering and machine learning model development is an asset.
- Ability to communicate fluently in French and English.
Boarding Information:
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Location: Administrative Centre (CA)
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Duration: 8 months
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Flexible workplace-Hybrid
It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose.
