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Added 5 hours ago
Machine Learning Resident - Client: Pratt & Whitney Canada (6 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
Full-time
…Computing Science, AI/ML, Engineering, or a related field, with substantial research or project experience in ML and optimization - particularly in forecasting, predictive modeling, time…
Added 5 hours ago
Data Scientist, ADE Analytics
Amazon Science
Vancouver, BC
Full-time
The Alexa Daily Essentials team delivers experiences critical to how customers interact with Alexa as part of daily life. Alexa users engage with our products across experiences connected…
Added 6 hours ago
Full Stack Solution Architect - VP, Hybrid
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Toronto, ON
Full-time
We are looking for a hands-on Full-Stack Solution Architect & Developer with extensive experience driving innovative technology solutions and leading complex projects across diverse domains…
Added 6 hours ago
Lead Data Scientist
Class8
Remote, Canada
$130,000 to $200,000 CAD / year
Full-time · Remote
Class8 is building a suite of products to help trucking companies better run their business, and help them connect with freight opportunities through brokerages and other data partners. Our…
Added 9 hours ago
Senior Quality Process Development Engineer
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Burlington, ON · CAN - Burlington, ON
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Added 9 hours ago
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Canada
Internship
Familiarity with data structures, software development, and version control
Added 14 hours ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
Familiarity with data structures, software development, and version control
Added 14 hours ago
Applied Scientist, Demand Tech Planning
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…machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic…
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Toronto, ON
Full-time
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Added 19 hours ago
Applied Scientist, Tax Engine
Amazon Science
Vancouver, BC
Full-time
…transactional distributed systems in the world? How about working with customers and peers from the entire range of Amazon's business and Science on complex real world problems, backed with…
Added 22 hours ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
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Toronto, ON
…autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel, EMR), AWS infrastructure (Lambda, DynamoDB,…
Added 23 hours ago
Principal AI Engineer
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Full-time
10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Added 1 day ago
Software Developer Intern, Predictions Data & Decision Science
Genesys
Toronto, ON
Full-time
As a Software Developer Intern on the Genesys Cloud Predictions Data & Decision team, you will work with a highly collaborative and diverse team of software engineers, data engineers, and…
Added 1 day ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
Full-time · Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 1 day ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
This role aligns with the Developer profile within CDI Quality Model. Quality is built in, not tested in.
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Jobgether
Canada
Full-time
Experience with Python, Java, and/or JavaScript for security automation and tooling is an advantage.
Added 1 day ago
Senior Quality Process Development Engineer
Semtech
Burlington, ON
Full-time
Proficiency in Python (or equivalent) for data analysis and ML model development, and strong SQL or equivalent skills for working with large structured production datasets
Added 1 day ago
Senior Consultant - GCP Data & AI Architect
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Toronto, ON
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Contract
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$160,000 to $180,000 USD / year
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Strong proficiency in Python, with hands-on experience using PyTorch and Scikit-learn
Added 1 day ago
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ON · Ontario, Canada
Contract
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Added 1 day ago
Senior Software Developer
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Full-time
Geologic is building a new cloud-first product, designed from the ground up on modern technology with AI at its core, and we're looking for a Senior Software Developer to help build it.…
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Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
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Toronto, ON
Contract
This role combines deep technical expertise in modern observability tools with emerging AI/ML capabilities to build intelligent monitoring solutions, predictive alerting, and self-healing…
Added 1 day ago
System Engineer
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Ottawa, ON · Kanata, ON
Full-time
Collaborate with embedded, cloud, software, and AI/ML teams to deliver scalable solutions.

Amii (Alberta Machine Intelligence Institute)

Machine Learning Resident - Client: Pratt & Whitney Canada (6 month term)

AB, Canada
Edmonton, AB, Canada

Job type: Full-time
Apply by: Oct 26, 2026
Posting language: English
Posted: Sep 26, 2026

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Original job description

“If you are interested in applying machine learning (ML) to real-world industrial challenges in aerospace – particularly optimizing decisions for parts allocation and maintenance operations through data analytics and explainable ML - this is a perfect opportunity for you. Be a part of a team of research and machine learning scientists and get mentored by some of the best minds in AI while doing it. ”

Xu Han, Machine Learning Scientist

About The Role

This is a paid Residency that will be undertaken over a 6-month period. The Resident will be reporting to an Amii Scientist and regularly consult with the Pratt & Whitney Canada team to share insights and engage in knowledge transfer activities. Also, please note that the top candidate(s) will be subject to a security check, and the results of which will be shared with Pratt & Whitney Canada.

About Our Client

Pratt & Whitney Canada (P&WC) is a global leader in the aerospace industry, headquartered in Longueuil, Quebec. We manufacture next-generation engines that power the world’s largest fleet of business, general aviation, and regional aircraft and helicopters. For nearly 100 years, we have pioneered advancements in engine development, supporting cargo and equipment, transportation, wildfire suppression, and passenger travel.

About The Project

While the project has a lot of different branches, the strongest focus will be on developing a tool to schedule different activities in the production flow. The solution must be custom-tailored to the needs of different departments and needs to be able to optimize based on multiple different factors. It is crucial that the tool is properly documented to account for potential changes in priorities and focus. Analytics of historical data will be the foundation of the optimization.

Who You Are

You have completed a graduate-level program or higher (M.Sc./Ph.D.) in Computing Science, AI/ML, Engineering, or a related field, with substantial research or project experience in ML and optimization - particularly in forecasting, predictive modeling, time series analysis. You possess strong Machine Learning Engineering (MLE) skills to drive end-to-end development and deployment of AI solutions. You have a deep understanding of metrics and evaluation practices, along with the capacity to contextualize scientific metrics for business applications. You are proficient in Python and familiar with key ML frameworks and libraries such as Scikit-learn, TensorFlow, PyTorch, and Pandas. Your positive attitude toward learning new applied domains, especially in aerospace or manufacturing, and your ability to communicate technical concepts clearly make you a valuable team player who is enthusiastic about collaborating across interdisciplinary teams.

What You Will Be Doing

In this role, you will be instrumental in developing, refining, and operationalizing high-quality, end-to-end AI products for Pratt & Whitney Canada. Your work will focus on creating predictive and prescriptive models for various AI modules (such as cost optimization, work scheduling, parts allocation, procurement, and inventory management) using real-world data. You will explore and implement a range of ML and optimization techniques, including supervised and unsupervised learning, forecasting, and classification models. You will be responsible for data preprocessing, including handling missing data, noise reduction, and synchronization issues. You will also productionize AI solutions on existing enterprise data infrastructure using MLOps tools. Furthermore, you will help establish a strong AI governance framework compliant with P&WC security and AI best practices, support the P&WC AI team in refining and industrializing initial models, and participate in the experimentation and piloting of developed solutions. You will collaborate with interdisciplinary teams, participate in project meetings, and contribute to reports on model performance and project milestones. Your efforts will directly contribute to enhancing Pratt & Whitney Canada's maintenance strategies, operational efficiency, and data-driven decision-making.

Required Skills / Expertise

We are looking for a talented and enthusiastic individual with solid knowledge of ML, strong MLE principles for end-to-end development and deployment, and demonstrated experience in applied settings. Expertise in forecasting, predictive modeling, time series analysis, and optimization is crucial. You should have a deep understanding of evaluation metrics and the capacity to contextualize scientific metrics for business needs.

Key Responsibilities

Develop, refine, and operationalize high-quality AI products, including predictive models and optimization models for operational decision-making across different AI modules.
Perform effective exploratory data analysis (EDA) using data analytics and visualization approaches.
Build, evaluate, and maintain production ML models to predict operational states and supply needs.
Formulate and solve complex decision problems across equipment maintenance, parts allocation, procurement, and inventory management using state-of-the-art prescriptive optimization methods.
Package models into modular microservices with automated pipelines (CI/CD, batch/real-time inference) to continuously drive end-to-end operational decision-making in production.
Prepare and curate high-quality datasets from diverse sources (including event sequences and textual data) for model training and validation.
Utilize state-of-the-art ML frameworks and tools (e.g., NumPy, Scikit-learn, SciPy, Pandas, PyTorch) to achieve optimal model performance and streamline data processing.
Collaborate with cross-functional teams to build and deploy AI solutions that address client needs, ensuring seamless integration into existing systems and supporting the industrialization of models.
Establish and maintain a strong AI governance framework compliant with P&WC security and AI best practices.
Participate in the experimentation, piloting, and continuous improvement of developed AI solutions.
Engage in regular client meetings, contributing insights and updates on model performance and project milestones through presentations and detailed reports.

Required Qualifications

Completion of a graduate-level program or higher (M.Sc./Ph.D.) in Computing Science, Mathematics, Operational Research, Machine Learning, Industrial Engineering, or equivalent.
Research or project experience solving real world problems using optimization, time series analysis, and predictive modeling techniques, with a preference for demand forecasting and cost optimization use cases.
Strong foundation in applied ML, statistics, and optimization.
Strong software development practices
Deep understanding of classical tabular ML (classification, regression, clustering, PCA, supervised learning, unsupervised learning), forecasting models (e.g., XGBoost/LightGBM, SVM, MLP, ARIMA, Prophet, DeepAR), survival analysis, and probabilistic modeling.
Hands-on experience with Linear Programming and Mixed-Integer Programming.
Hands-on experience performing data analytics and data processing with large datasets.
Strong understanding and application of Machine Learning Engineering (MLE) and Software Engineering (SWE) principles for end-to-end model development and deployment.
Proficiency in the Python programming language and related ML frameworks, libraries, and toolkits (e.g., Scikit-learn, PyTorch, Pandas, SciPy, PuLP).
Comfortable using MLOps tools (e.g., Databricks, MLflow, ZenML, Kedro) in a cloud environment for CI/CD.
Basic knowledge of SQL.
A positive attitude toward learning and understanding new applied domains.
Deep understanding of evaluation metrics and practices, with the capacity to contextualize scientific metrics for business needs.
Must be legally eligible to work in Canada.

Preferred Qualifications

Previous experience applying ML to time series data for predictive maintenance problems, particularly in aerospace or manufacturing.
Understanding of explainable ML and SHAP analysis.
Previous experience with a broad range of optimization algorithms, including Evolutionary Algorithms, Simulated Annealing, and Particle Swarm Optimization.
Good understanding of Reinforcement Learning, Model Predictive Control, Monte Carlo Simulation, and Discrete Event Simulation (DES).
Some experience with classical NLP methods for text extraction.
Experience deploying ML models in production environments.
Good MLE or software engineering skills.
Strong understanding of deep learning, including CNNs, RNNs, LSTMs, and Transformers.
Familiarity with event sequence data characteristics and their challenges in an industrial context.

Non-Technical Requirements

Desire to take ownership of a problem and demonstrated leadership skills
Interdisciplinary team player enthusiastic about working together to achieve excellence
Capable of critical and independent thought
Able to communicate technical concepts clearly and advise on the application of machine intelligence
Intellectual curiosity and the desire to learn new things, techniques, and technologies

Why You Should Apply

Besides Gaining Industry Experience, Additional Perks Include

Work under the mentorship of an Amii Fellow and Amii Scientist for the duration of the project
Participate in professional development activities
Gain access to the Amii community and events
Build your professional network
The opportunity for an ongoing machine learning role at the client’s organization at the end of the term (at the client’s discretion)

About Amii

One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

How to Apply

If this sounds like the opportunity you've been waiting for, please don’t wait for the closing October 12, 2026 to apply - we’re excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and won’t be used in the selection process.

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More about this job

Responsibilities

Develop, evaluate, and operationalize predictive and optimization models for production scheduling, maintenance, parts allocation, procurement, and inventory management. Prepare and analyze data, deploy models using MLOps practices, support AI governance and piloting, and communicate progress and results to client and interdisciplinary teams.

Requirements

A graduate degree or higher in computing science, mathematics, operations research, machine learning, industrial engineering, or a related field is required, along with applied experience in machine learning, optimization, forecasting, time series analysis, and predictive modeling. Candidates should be proficient in Python and relevant ML tools, understand model evaluation and software/MLE practices, and be legally eligible to work in Canada.

Skills

Machine Learning
Machine Learning Engineering
Optimization
Time Series Analysis
Forecasting
Predictive Modeling
Python
Data Analytics
Exploratory Data Analysis
MLOps
Linear Programming
Mixed-Integer Programming
Model Evaluation
Explainable AI
Software Engineering
Data Processing

Benefits

Professional Development
Mentorship
Networking Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Machine Learning Engineering
Artificial Intelligence
Optimization
Time Series Analysis
Forecasting
Predictive Modeling
Python
Scikit-Learn
TensorFlow
PyTorch
Pandas
NumPy
SciPy
PuLP
Databricks
MLflow
ZenML
Kedro
SQL
MLOps
CI/CD
Linear Programming
Mixed-Integer Programming
Explainable AI
SHAP
Predictive Maintenance
Survival Analysis
Probabilistic Modeling
Parts Allocation

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