An exciting opportunity based in Toronto, Canada (hybrid), with a fast‑growing, product‑driven company building creative financial technology solutions. This full‑time role focuses on designing and scaling up-to-date 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 quick‑paced environment. If you’re passionate about deploying scalable AI systems, optimizing performance, and influencing critical 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
Applicants must be currently authorized to work in Canada on a full‑time basis now and in the future.
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