Machine Learning Engineer

Bree
Toronto
Workplace: OnsiteFull timeUSD 130,000 - 230,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Analytical","Problem-solving","Communication","Collaboration"]

Machine Learning Engineer at Bree building and scaling high-impact ML systems for a Canadian fintech. You’ll design end-to-end ML pipelines, implement MLOps, optimize models, work with Pandas/NumPy/SQL, and deploy on cloud platforms with Docker/Kubernetes to power data-driven decision making.

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FursaFursa
Bree
Bree
4 months ago

Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Machine Learning Engineer at Bree building and scaling high-impact ML systems for a Canadian fintech. You’ll design end-to-end ML pipelines, implement MLOps, optimize models, work with Pandas/NumPy/SQL, and deploy on cloud platforms with Docker/Kubernetes to power data-driven decision making.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference.
  • •Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies.
  • •Optimize ML models using feature engineering, hyperparameter tuning, and scalable inference techniques.
  • •Work with structured and unstructured data, leveraging Pandas, NumPy, and SQL for efficient data manipulation.
  • •Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and orchestration tools like Docker and Kubernetes

Pay and Benefits

Salary: USD 130,000 - 230,000 annually
Perks:DentalVisionLearning StipendWellness StipendMeal AllowanceTravel AllowanceParental LeaveSick Days

Key Requirements

  • •Proficiency in Python
  • •Familiarity with ML libraries: Scikit-learn, LightGBM, PyTorch
  • •Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker
  • •Hands-on experience with Pandas, NumPy, and SQL
  • •Knowledge of cloud-based ML deployment and infrastructure management
Experience:3+ yearsFintechFinanceStartup
Skills:AnalyticalProblem-solvingCommunicationCollaboration
Tech Stack:PythonScikit-learnLightGBMPyTorchPandasNumPySQLMLflowKubeflowSageMakerAWSGCPAzureDockerKubernetes

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Bree
Develops Bree, an AI-powered writing assistant that helps individuals and teams generate, edit, and optimize emails, marketing copy, and short-form content to save time and improve messaging consistency.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
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