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ML Platform Engineer at PureFacts

Job in Toronto, Ontario, C6A, Canada
Listing for: PureFacts Financial Solutions
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 85000 - 115000 CAD Yearly CAD 85000.00 115000.00 YEAR
Job Description & How to Apply Below
Elevate your career as a Machine Learning Platform Engineer at Pure Facts Financial Solutions. Focus on AI infrastructure and support advanced machine learning models efficiently in a cloud-based environment.

Pure Facts is on the lookout for a skilled ML Platform Engineer to revolutionize its AI-native platform. In this role, you will develop and maintain robust ML infrastructure to enable rapid model experimentation and deployment. Your expertise in data engineering, platform development, and MLOps will be key in streamlining workflows across the organization.

Key Responsibilities:

• Design scalable ML infrastructure for model development

• Establish end-to-end MLOps pipelines for AI models

• Automate repetitive workflows to enhance efficiency

• Integrate ML systems within Pure Facts’ SaaS platform

• Implement monitoring systems for model performance

Requirements:

• 3-5 years of experience in ML platform engineering

• Proficiency in Python and ML frameworks

• Familiar with cloud platforms and containerization

• Strong understanding of scalable architecture

• Degree in Computer Science or related field

Drive innovation in AI and ML systems while making impactful contributions at Pure Facts Financial Solutions.
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