Machine Learning Engineer

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, Google Cloud Platform, 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.