An exciting opportunity based in Toronto, Canada (hybrid), with a fast-growing, product-driven company building innovative financial technology solutions. This full time role focuses on designing and scaling modern machine learning systems using technologies such as Python, PyTorch, Scikit-learn, and cloud platforms.
This is a unique chance to join a high-growth team at a pivotal stage - where product-market fit is established and innovation is accelerating. The company is looking for someone who thrives on building impactful ML solutions end-to-end and enjoys working in a fast-paced environment. If you're passionate about deploying scalable AI systems, optimizing perfor,ance, and influencing criticical production decisions - this role is for you.
Required Skills & Experience
- Strong experience in Python
- Experience with machine learning libraries (Scikit-learn, LightGBM, PyTorch)
- Hands-on experience with data manipulation tools (Pandas, NumPy) and SQL/NoSQL databases
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Knowledge of MLOps practices, including CI/CD pipelines
Desired Skills & Experience
- Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker
- Familiarity with containerization and orchestration tools (Docker, Kubernetes)
- Experience building and deploying machine learning models in production
What You Will Be Doing
Tech Breakdown
- 50% Machine Learning Model Development
- 25% Data Engineering & Pipeline Development
- 15% MLOps & Deployment
- 10% Collaboration & Strategy
Daily Responsibilities
- 65% Hands On
- 10% Management Duties
- 25% Team Collaboration
You Will Receive The Following Benefits
- Medical, Dental, and Vision Insurance
- Vacation Time
Current Vacancy: Yes
Use of AI in Hiring: No
Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.
Posted By: Emma Borges
