Autodesk

Technology

SeniorMachineLearningOperationsDeveloper:AI/MLPlatform

Toronto, Ontario, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Learning Operations Developer: AI/ML Platform at Autodesk. Skills: Machine Learning Operations, AI/ML Platform, DevOps, Cloud Infrastructure. Drive operational excellence. Implement MLOps practices”

Industry & Context.

Technology
Problems you'll solve

Troubleshoot operational issues; Resolve complex issues

What They're Looking For.

Must Have

BS or MS in Computer Science, 5+ years DevOps and MLOps, Proficiency in Infrastructure as Code, Expertise in containerization technologies, Experience in CI/CD pipelines, Scripting skills in Python, Bash, Familiarity with monitoring and logging tools, Understanding of security best practices, Excellent collaboration and communication skills, Proven ability to troubleshoot

Nice to Have

Experience with AWS or Azure, Familiarity with databases and data storage, Exposure to ML frameworks, Experience with Git, Experience with Jira, Familiarity with Agile development

What You'll Do.

Drive operational excellence

Implement MLOps practices

Optimize MLOps practices

Design automated deployment pipelines

Implement automated deployment pipelines

Collaborate to design infrastructure

Collaborate to implement infrastructure

Collaborate to maintain infrastructure

Develop monitoring systems

Maintain monitoring systems

Develop logging systems

Maintain logging systems

Work closely with data engineers

Ensure efficient data pipelines

Implement version control systems

Contribute to model governance

Contribute to compliance standards

Uphold ethical considerations

Enforce security best practices

Enforce compliance standards

Identify process automation opportunities

Identify process optimization opportunities

Implement strategies to enhance MLOps

Identify operational issues

Resolve operational issues

Contribute to incident response

Contribute to system recovery

How You'll Work.

Team & Collaboration

Cross-functional teams; Data engineers; Software developers; Researchers

Full Job Description

**Job Requisition ID #** 26WD98671 _**Senior Machine Learning**_**Operations Developer: AI/ML Platform** Location: Canada. Open to Toronto, Montreal, Vancouver or Remote Canada _French translation to follow!/Traduction française à suivre!_ **About Autodesk** Autodesk makes software for people who make things. We are a global leader in _3D_ design, engineering, manufacturing, and entertainment software. Our customers use Autodesk software to design and make the physical and virtual worlds that we live in. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film or played an immersive game, chances are you've experienced what millions of Autodesk customers are doing with our software. **Position Overview** Autodesk, a global leader in _3D_ design, engineering, manufacturing, and entertainment software, is seeking a skilled MLOps Engineer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of _machine learning_ models and the overall efficiency of our next-generation AI/ML platform used in the development of _machine learning_ and generative AI solutions powering Autodesk’s suite of products and services. You will collaborate with research and product engineering from various domains including design, construction, manufacturing, and media & entertainment to to support platform operations. **Responsibilities** * **Operational Efficiency:** Drive the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices * **Deployment Automation:** Design and implement automated deployment pipelines for _machine learning_ models, ensuring seamless transitions from development to production * **Scalable Infrastructure:** Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for _model_ training, inference, and data processing * **Monitoring and Logging:** Develop and maintain robust monitoring and log

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