Bombardier is a global leader in aviation, creating innovative and game-changing planes. They are seeking an Intern in Data Science to support model development and evaluation through data preparation and feature engineering, while collaborating with developers to deliver AI solutions.
Responsibilities
Preparing and refining training datasets to support model development and evaluation
Applying feature engineering techniques to transform and enrich data
Developing and optimizing Python scripts for data processing, automation, and model experimentation
Collaborating with developers to build and deliver production ready AI solutions
Using cloud-based AI and data services within model development and deployment workflows
Deploying AI solutions and monitoring their performance in production environments
Troubleshooting and improving AI solutions built on Databricks and Azure
Prototyping and assessing machine learning models for a variety of use cases
Using DevOps and MLOps best practices for CI/CD, testing, and version control of ML solutions
Qualification
Required
You are enrolled in an undergraduate or graduate program in computer science, data science, engineering, or a related applied science field
You have strong proficiency in Python scripting
You bring a curiosity and willingness to learn new tools and approaches in AI and ML engineering
You are a collaborative team player
You demonstrate autonomy and ownership in your work
You are a proactive problem-solver who contributes ideas and solutions
Preferred
Familiarity with deep learning techniques is considered an asset
During your internship, you will learn: (Optional)
Working with both traditional ML and Gen AI, including development, evaluation, and deployment
Data preparation, feature engineering, and model development using industry standard tools
GenAI workflows, including prompt engineering, embeddings, LLM fine tuning, and integration with business applications
How ML and GenAI systems are built and operated within cloud-based environments such as Databricks and Azure AI
MLOps and GenAI delivery best practices, including CI/CD, model monitoring, and versioning
Translating business requirements into data-driven and AI-powered solutions
Collaborating with cross-functional teams, including both technical and business stakeholders
Benefits
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!
Flexible workplace-Hybrid
Bombardier is a global leader in aviation, focused on designing, manufacturing, and servicing the world's most exceptional business jets.
