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About the Role
As a Machine Learning Engineer at Flair Airlines, you will play a key role in designing, building, deploying, and maintaining production machine learning systems. 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 contribute to the ongoing development and evolution of Flair’s technology platform.
Responsibilities
- 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.
Requirements
- Clear criminal record check and satisfactory references.
- Must be legally eligible to work in Canada without restriction.
Skills
- 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.
- 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.
Location
- Edmonton (YEG)
- Calgary (YYC)
- Vancouver (YVR)
- Toronto (YYZ)
Work Type
- Full-time
- On-site
Experience Level
- 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.
Education Level
- Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field
Salary/Compensations
- A salary that reflects your experience and contributions.
Benefits
- Comprehensive medical and dental coverage
- Disability insurance
- Life insurance
- Employee and family assistance program
- Pension plan with employer-matched contributions
- Unlimited Travel Perks – Enjoy free and discounted flights for you and your travel companions.
About the Company
- Flair Airlines is committed to making air travel affordable for everyone and is Canada’s most reliable airline, offering real value.
- The company is expanding its network, increasing flight frequencies, and introducing more services.
- Flair Airlines prioritizes its teams by cultivating a supportive, collaborative work environment filled with opportunities for growth.
- Investing in people is at the heart of what they do, fostering a workplace where leaders thrive, innovation flourishes, and every team member feels valued and empowered.
Equal Opportunity
- Flair is committed to building an inclusive, equal, and accessible workplace that welcomes diverse talent.
- Encourages candidates from all backgrounds to apply.
- Offers accommodation during the selection process.