Intern, Artificial Intelligence

2 weeks ago

Dorval, Canada Bombardier Full time

**Innovation is in our DNAis 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

**During your internship, you will contribute to**:

- Support feature engineering activities over given data for training models.
- Developing and optimizing Python scripts for data processing and automation.
- Collaborating with experienced Machine Learning Engineers (MLEs) and Data Engineers to develop and deliver solutions.
- Experimentation 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 the supporting data infrastructure.
- Developing, maintaining, and optimizing data flows using leading cloud solutions like Databricks.

**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._

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