Autodesk

1 month ago

Machine Learning Ops Developer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Own operational excellence for Autodesk’s AI/ML Platform by implementing MLOps practices that move machine learning models from development to production. Build deployment automation, scalable infrastructure, and reliable monitoring/logging for model performance and system health. Partner with data engineers on training/validation pipelines, strengthen model governance and version control, and support security, compliance, troubleshooting, and incident recovery to improve the MLOps lifecycle.

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Drive operational excellence for the AI/ML Platform by implementing and optimizing MLOps practices.
•Design and implement automated deployment pipelines for machine learning models from development to production.
•Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processing.
•Develop and maintain monitoring and logging systems for model performance and system health.
•Contribute to model governance and version control while supporting security, compliance, and incident response.

Pay and Benefits

Equity and Bonus:Equity

Perks:Annual BonusEquity

Key Requirements

•3+ years of hands-on experience in DevOps and MLOps deploying and managing machine learning models in production environments.
•Proficiency with Infrastructure as Code using tools such as Terraform or Ansible.
•Strong containerization expertise with Docker and Kubernetes for orchestrating and scaling machine learning workloads.
•Experience setting up and managing CI/CD pipelines for machine learning projects.
•Strong scripting and automation skills in Python or Bash, plus familiarity with monitoring/logging tools like Prometheus, Grafana, and ELK Stack.

Experience:3+ yearsMLOpsDevOpsMachine learningAI/ML platformGenerative AI

Education:Bachelor's in Computer Science

Skills:CollaborationCommunicationProblem-solvingTroubleshootingSecurity awareness

Tech Stack:PythonBashTerraformAnsibleDockerKubernetesCI/CDPrometheusGrafanaELK StackAWSAzureSQLNoSQLGitJiraTensorFlowPyTorch

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: 3.9

Website LinkedIn Glassdoor

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Autodesk

1 month ago

Machine Learning Ops Developer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Drive operational excellence for the AI/ML Platform by implementing and optimizing MLOps practices.
•Design and implement automated deployment pipelines for machine learning models from development to production.
•Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processing.
•Develop and maintain monitoring and logging systems for model performance and system health.
•Contribute to model governance and version control while supporting security, compliance, and incident response.

Pay and Benefits

Equity and Bonus:Equity

Perks:Annual BonusEquity

Key Requirements

•3+ years of hands-on experience in DevOps and MLOps deploying and managing machine learning models in production environments.
•Proficiency with Infrastructure as Code using tools such as Terraform or Ansible.
•Strong containerization expertise with Docker and Kubernetes for orchestrating and scaling machine learning workloads.
•Experience setting up and managing CI/CD pipelines for machine learning projects.
•Strong scripting and automation skills in Python or Bash, plus familiarity with monitoring/logging tools like Prometheus, Grafana, and ELK Stack.

Experience:3+ yearsMLOpsDevOpsMachine learningAI/ML platformGenerative AI

Education:Bachelor's in Computer Science

Skills:CollaborationCommunicationProblem-solvingTroubleshootingSecurity awareness

Tech Stack:PythonBashTerraformAnsibleDockerKubernetesCI/CDPrometheusGrafanaELK StackAWSAzureSQLNoSQLGitJiraTensorFlowPyTorch

Company Brief

Autodesk

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: 3.9

Website LinkedIn Glassdoor