Role Description
**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:
* Meet An Executive
* Women Taking Flight
Learning more about Bombardier, including:
* Bombardier Products conference
* Visits of the Bombardier sites
* Bombardier Academy of Learning
Many social/networking opportunities, including:
* Volunteering
* Networking for Success
* 5 à 7, Potluck, and much more!
### **What are your contributions to the team?**
During your internship, you will contribute to:
* 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.
During your internship, you will learn:
* 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.
### **How to thrive in this role?**
* 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:**
* Location: Administrative Centre (CA)
* Duration: 8 months
* 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.*