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Added 7 days ago
Senior Software Engineer- Applied AI
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Toronto, ON
Full-time
Strong proficiency in Python across eval tooling, service-level code, and API development (FastAPI or similar), plus working proficiency in TypeScript/Node.js for application integrations.
Added 8 days ago
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InnerSource and Developer Experience programs
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Added 8 days ago
Software Engineering Co-op - Winter 2027
Achievers
Toronto, ON
$28 to $40 CAD / hour
…by seeking out and providing feedback. We believe that every developer has lots to learn and lots to…
Added 8 days ago
Senior Data Scientist
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Toronto, ON · CA ON Toronto
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Apply Python, artificial intelligence, natural language processing and text mining to solve complex business problems.
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Student, Cloud Infrastructure Analyst (Winter 2027)
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Experience with statistical software, such as R, Python and PowerBI, is desirable.
Added 8 days ago
Technology and System Management Student
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Full-time
Programming experience in Python and/or C/C++
Added 8 days ago
Test Engineer - Data
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Strong programming skills in Python (PySpark) and SQL
Added 8 days ago
Senior Integration Engineer
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Added 8 days ago
Machine Learning Scientist II - Marketing Optimization
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$168,960 to $188,776.5 CAD / year
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Added 8 days ago
Quality Assurance Specialist
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Exposure to scripting (Python, JavaScript) for logic, data parsing, or UI/UX adjustments.
Added 8 days ago
Full Stack Developer
ZAPCOM GROUP INC
Toronto, ON
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Backend development using Java/Spring Boot or Python (Django/FastAPI/Flask)
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Energy Analyst Intern (Economics) - Summer 2027
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Toronto, ON
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Added 8 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
Experience in either Python (preferrably), or other common programming language (Scala, Java) for data manipulation purposes
Added 8 days ago
Software and Hardware Senior Engineering Specialist
SHIV SOFTWARE EXPERTS LLC
Montreal, QC · Dorval, QC
$100,000 to $130,000 CAD / year
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You have working knowledge of multiple programming languages (C, C++, Ada95, Assembly, Python) and multiple hardware description languages
Added 8 days ago
Business Systems Developer
Grantek Systems Integration
Burlington, ON
Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 8 days ago
Applied AI Engineer
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Strong proficiency in Python and experience building APIs/services (e.g., REST/gRPC) and integrating with enterprise systems.
Added 23 days ago
Senior / Staff Software Engineer, ML-based Controls
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Toronto, ON
$241,000 to $320,000 USD / year
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Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.
Added 8 days ago
Machine Learning Engineer
Flair Airlines Ltd.
Toronto, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
Full-time
Develop production-quality Python code using machine learning frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
Added 8 days ago
Data Scientist - Credit Risk (ATH 5531)
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Exposure to Python, Databricks, Azure, predictive models, machine learning, credit decisioning tools, or AI-enabled productivity tools is an asset.
Added 8 days ago
Power System Engineering Intern-Calgary
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Scripting/Programming (Python, C++, or other) proficiency and basic knowledge of power system software like ETAP, PSSE.
Added 8 days ago
EAM – Tech Strategy Metrics & KPI Lead (Hyrbid)
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Added 8 days ago
Senior Platform Integration and Monitoring Lead (Hybrid)
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Develop automation solutions and operational tooling using Python, Shell scripting, and AI-assisted development technologies to improve efficiency, reduce manual effort, and increase…
Added 8 days ago
Co-op Student, Service & Operational Planning
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Canada
Full-time
Familiarity with GIS, Power BI, R, Python, or similar analytical tools.

Flair Airlines Ltd.

Machine Learning Engineer

Toronto, ON, Canada
Vancouver, BC, Canada
Edmonton, AB, Canada
Calgary, AB, Canada

Job type: Full-time
Posting language: English
Posted: Sep 18, 2026

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Original job description

Take Your Career to New Heights with Flair Airlines

We’re here to make air travel affordable for everyone, and we’re looking for talented individuals who want to help us continue changing the industry for the better. As Canada’s most reliable airline, we're all about offering real value. As we continue to expand our network, increase flight frequencies, and introduce more services, we’re looking for passionate team members to help us in our mission to make air travel accessible for everyone. We know who we are, and we’re confident in our approach.

Your Team:

Join the Digital - Engineering team at Flair as a Machine Learning Engineer, where you will play a key role in designing, building, deploying, and maintaining production machine learning systems. Reporting to the Director, Engineering, you will work closely with Data Engineers, Software Engineers, and business stakeholders to transform data and predictive models into reliable, scalable solutions that support business needs. This is a hands-on role focused on developing production-ready machine learning solutions, improving model performance and reliability, and ensuring machine learning systems operate effectively at scale. You will also have the opportunity to contribute to the ongoing development and evolution of Flair’s technology platform.

This is a full-time, on-site position that can be based at any of our Edmonton (YEG), Calgary (YYC), Vancouver (YVR), or Toronto (YYZ) offices.

A Day in the Life:

As a Machine Learning Engineer, you will:

Design, develop, and deploy machine learning models for classification, prediction, recommendation, anomaly detection, forecasting, and optimization.
Build end-to-end machine learning pipelines, including data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
Develop production-quality Python code using machine learning frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
Deploy machine learning models as APIs, batch-processing jobs, or real-time inference services.
Build and maintain cloud-based machine learning infrastructure using platforms such as AWS, Azure, or GCP.
Work with large datasets using SQL, data warehouses, and distributed processing frameworks.
Implement MLOps practices, including experiment tracking, model versioning, CI/CD, automated retraining, and model monitoring.
Monitor model performance, data quality, model drift, latency, and reliability in production environments.
Collaborate with DevOps Engineers to productionize experimental models and transform prototypes into reliable, scalable systems.
Partner with Data Engineers to develop reliable datasets and pipelines for model training and inference.
Evaluate emerging machine learning and generative AI technologies, including large language models (LLMs), embeddings, vector databases, and retrieval-augmented generation (RAG), where appropriate.
Communicate model performance, limitations, and business impact clearly to both technical and non-technical stakeholders.
Perform additional duties as required to support business objectives.

What You Bring to the Role:

The preferred candidate should exemplify Flair's core values of respect, honesty, accountability, and efficiency while demonstrating success in previous roles. Additionally, we are seeking individuals who possess:

Education:
- Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field
Experience:
- Minimum of three (3) years of experience in machine learning, data science, software engineering, or a related technical field, with hands-on experience developing and deploying machine learning solutions.
- Experience developing machine learning solutions using libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
- Experience deploying applications or machine learning models in a cloud environment.
- Experience working with SQL and large datasets.
- Experience with Docker, Git, CI/CD, APIs, and software engineering practices.
- Experience with AWS services such as SageMaker, S3, Lambda, ECS/EKS, Glue, and CloudWatch is an asset.
- Familiarity with MLOps tools such as MLflow, SageMaker Pipelines, Airflow, Kubeflow, or similar platforms is an asset.
Skills and Abilities:
- Strong programming skills in Python.
- Strong knowledge of SQL and data processing.
- Strong understanding of core machine learning concepts, including supervised and unsupervised learning, feature engineering, model evaluation, overfitting, cross-validation, and hyperparameter tuning.
- Strong analytical and problem-solving skills.
- Ability to develop reliable, production-quality machine learning solutions.
- Ability to work collaboratively with Data Engineers, Software Engineers, DevOps Engineers, and other technical teams.
- Ability to communicate technical concepts and model outcomes clearly to technical and non-technical stakeholders.
Requirements:
- Clear criminal record check and satisfactory references.
- Must be legally eligible to work in Canada without restriction.

Why You’ll Love Working Here:

At Flair, we prioritize our teams by cultivating a supportive, collaborative work environment filled with opportunities for growth. Investing in our people is at the heart of what we do because your success fuels our collective achievements. We are dedicated to fostering a workplace where leaders thrive, innovation flourishes, and every team member feels valued and empowered.

From the moment you join us, you’ll have access to a comprehensive benefits package designed to support your well-being - because when you’re at your best, so are we. This benefits package includes:

Comprehensive Salary - A salary that reflects your experience and contributions.
Comprehensive Benefits - Competitive medical and dental coverage, disability insurance, life insurance, and an employee and family assistance program.
Retirement Savings – A pension plan with employer-matched contributions.
Unlimited Travel Perks – Enjoy free and discounted flights for you and your travel companions.

If you’re ready to join a team that’s bold, innovative, and fun, we want to hear from you!

Your Career, Your Journey - Join Flair!

If you’re ready to embark on this exciting journey with Flair Airlines, please submit your resume through the job posting and answer a few questions about your experience and suitability for the role. We look forward to your application.

Apply by: When a successful candidate is identified.

At Flair, we’re committed to building an inclusive, equal, and accessible workplace that welcomes diverse talent. We encourage candidates from all backgrounds to apply. If you need accommodation during the selection process, just let us know.

We thank all applicants for their interest in Flair; however, only those selected to continue in the process will be contacted.

Website: flyflair.com

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More about this job

Responsibilities

You will design, develop, and deploy production-ready machine learning models and pipelines to support business needs. Additionally, you will collaborate with cross-functional engineering teams to maintain scalable infrastructure and monitor model performance in production.

Requirements

Candidates must hold a bachelor's or master's degree in a technical field and possess at least three years of hands-on experience in machine learning or software engineering. Proficiency in Python, SQL, and cloud-based machine learning frameworks is required, along with legal eligibility to work in Canada.

Skills

Python
Machine learning
SQL
Cloud computing
AWS
MLOps
Data engineering
Scikit-learn
XGBoost
PyTorch
TensorFlow
Docker
Git
CI/CD
Predictive modeling
Data analysis

Benefits

Medical coverage
Dental coverage
Disability insurance
Life insurance
Employee and family assistance program
Pension plan
Free and discounted flights

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Engineer
Python
AWS
SQL
MLOps
Scikit-learn
XGBoost
PyTorch
TensorFlow
Docker
Git
CI/CD
SageMaker
Data Engineering
Predictive Modeling
Anomaly Detection
Generative AI
LLMs
Vector Databases
RAG
Cloud Infrastructure
Distributed Processing
Model Monitoring
Feature Engineering
Data Warehousing
API Development
Software Engineering
Statistics
Computer Science
Data Science

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