Top Benefits
About the role
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
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Top Benefits
About the role
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