Explore the intersection of aerospace and machine learning with this paid Residency at Pratt & Whitney Canada. Contribute to real-world optimization challenges and interact with top AI professionals. This 6-month residency, mentored by an Amii Scientist, focuses on applying machine learning to industrial problems in aerospace.

You will collaborate with the Pratt & Whitney Canada team to enhance operational efficiency through predictive modeling and data analytics. Your expertise in optimization, forecasting, and ML engineering will be crucial to building cutting-edge solutions. Key Responsibilities:

- Develop and operationalize high-quality AI products
- Conduct exploratory data analysis for insights
- Build and maintain predictive ML models
- Solve complex decision problems for maintenance and inventory
- Package models into automated microservices Requirements:
- Graduate degree in Computing Science or related field
- Experience with forecasting and predictive modeling
- Proficiency in Python and ML libraries
- Understanding of optimization principles
- Familiarity with MLOps tools in cloud environments Elevate your career in aerospace by applying your ML skills at Pratt & Whitney Canada.

📌 Machine Learning Residency in Aerospace (Edmonton)
🏢 Amii (Alberta Machine Intelligence Institute)
📍 Edmonton