Senior Machine Learning Engineer

Provision
Toronto
Workplace: RemoteFull timeCAD 140,000 - 300,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Communication","Teamwork","Problem-solving"]

Lead the development and productionization of machine learning models for a construction-focused platform, collaborating with software and data teams while deploying models on Google Cloud using PyTorch. Own end-to-end model lifecycle, from experimentation to monitoring, and influence product decisions in a fast-paced, cross-functional environment.

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FursaFursa
Provision
Provision
7 months ago

Senior Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead the development and productionization of machine learning models for a construction-focused platform, collaborating with software and data teams while deploying models on Google Cloud using PyTorch. Own end-to-end model lifecycle, from experimentation to monitoring, and influence product decisions in a fast-paced, cross-functional environment.
Location: Toronto
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop, train, and deploy ML models for the platform, ensuring scalability and reliability in production.
  • •Collaborate with software engineers, data scientists, and product teams to define model requirements andfeat ures.
  • •Tune models, run experiments, and monitor performance with appropriate metrics.
  • •Build robust data pipelines and automate model training and deployment on Google Cloud.
  • •Communicate results and recommendations to non-technical stakeholders to influence product decisions.

Pay and Benefits

Salary: CAD 140,000 - 300,000 annually
Equity and Bonus:Equity

Key Requirements

  • •6+ years of experience in machine learning or ML engineering.
  • •Proficiency in Python and PyTorch for building ML models.
  • •Experience deploying models on Google Cloud.
  • •Strong understanding of ML fundamentals, modeling, and evaluation metrics.
  • •Excellent collaboration and communication in cross-functional teams.
Experience:6+ yearsConstructionConstruction techML deployment
Skills:CommunicationTeamworkProblem-solving
Languages:English
Tech Stack:PythonPyTorchGoogle CloudMachine Learning

Eligibility

Visa:US citizen/visa only
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Provision
Provision automates employee IT onboarding and offboarding by provisioning access to apps, accounts, and devices. It centralizes identity and access workflows to reduce manual work, improve security, and ensure new hires and leavers have correct permissions.
Industry: Cybersecurity
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