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, 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