Join Bree as a Machine Learning Engineer, creating impactful AI solutions in fintech. Lead the design and deployment of machine learning systems to enhance user experiences for Canadians. Bree seeks a Machine Learning Engineer passionate about scalable systems and deploying AI solutions.

This role emphasizes optimizing performance and driving measurable results for our innovative consumer finance platform. You'll build end-to-end ML pipelines, collaborate with data engineers, and manage models on cloud platforms. Key Responsibilities:

- Design and deploy end-to-end machine learning pipelines
- Implement MLOps best practices for model management
- Optimize ML models with feature engineering and tuning
- Work with Pandas, NumPy, and SQL for data handling
- Deploy models using Docker and Kubernetes on cloud Requirements:
- Proficiency in Python with ML libraries expertise
- Solid understanding of machine learning algorithms
- Experience with MLOps tools like SageMaker
- Hands-on data manipulation and database experience
- Strong analytical and problem-solving skills Shape the future of Bree's technology with your machine learning expertise and drive innovation in the fintech landscape.

📌 Machine Learning Engineer at Bree (Toronto)
🏢 Bree
📍 Toronto