Senior Machine Learning Operations Developer: AI/ML Platform

Autodesk
Toronto, Vancouver, Montreal
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Communication","Troubleshooting","Incident response"]

Own operational excellence for an AI/ML platform by implementing MLOps best practices, building automated deployment pipelines, and enabling smooth transitions from development to production. Design scalable infrastructure for model training, inference, and data processing, while delivering robust monitoring, logging, and incident recovery. Partner with data developers and enforce security, privacy, compliance, version control, and model governance across the ML lifecycle.

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FursaFursa
Autodesk
Autodesk
9 hours ago

Senior Machine Learning Operations Developer: AI/ML Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Own operational excellence for an AI/ML platform by implementing MLOps best practices, building automated deployment pipelines, and enabling smooth transitions from development to production. Design scalable infrastructure for model training, inference, and data processing, while delivering robust monitoring, logging, and incident recovery. Partner with data developers and enforce security, privacy, compliance, version control, and model governance across the ML lifecycle.
Location: Toronto, Vancouver, Montreal
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Drive operational excellence of the AI/ML platform by implementing and optimizing MLOps practices.
  • •Design and implement automated ML model deployment pipelines from development to production.
  • •Collaborate cross-functionally to design, implement, and maintain scalable infrastructure for training, inference, and data processing.
  • •Develop monitoring and logging systems to track model performance, system health, and platform efficiency.
  • •Implement ML model version control, governance, security, privacy, and compliance best practices; support incident response and system recovery.

Key Requirements

  • •BS or MS in Computer Science or a related field.
  • •5+ years of hands-on DevOps and MLOps experience deploying and managing ML models in production.
  • •Proficiency with Infrastructure as Code using Terraform or Ansible.
  • •Strong containerization expertise with Docker and Kubernetes for orchestrating and scaling ML workloads.
  • •Experience building CI/CD pipelines and scripting operational automation with Python or Bash.
Experience:Machine learningMLOpsDevOps
Education:Bachelor's in Computer Science
Skills:CollaborationCommunicationTroubleshootingIncident response
Tech Stack:TerraformAnsibleDockerKubernetesPythonBashCI/CDPrometheusGrafanaELK StackGitJiraAWSAzureSQLNoSQLData lakesTensorFlowPyTorchData privacy

Company Brief

Autodesk
Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Rafael, United States
Founded: 1982
Glassdoor
Glassdoor: 3.9
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