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Machine Learning Engineer

Toronto, ONTARIO, CA • Posted 19 hours ago • Updated 7 hours ago

Full Time

On-site

$200000 - $300000/yr

Fitment

Dice Job Match Score™

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Job Details

Skills

Financial Technology
Pivotal
Innovation
Python
scikit-learn
PyTorch
Data Manipulation
Pandas
NumPy
SQL
NoSQL
Database
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Microsoft Azure
Continuous Integration
Continuous Delivery
Amazon SageMaker
Orchestration
Docker
Kubernetes
Machine Learning (ML)
Data Engineering
Machine Learning Operations (ML Ops)
Management
Collaboration
Insurance
Artificial Intelligence
Recruiting
SAP BASIS

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 881811
Posted 19 hours ago

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