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Principal Machine Learning Developer, AI/ML Platform
Summary by AIEngineer.careers
Principal Machine Learning Developer, AI/ML Platform is a MLOps Engineer role (full-time). with Autodesk. in REMOTE, TORONTO, CA. Compensation shown: $153K–$224K. Imported listing (source: remotefront.com). Apply on the employer's site (remotefront.com).
Imported listing (source: remotefront.com) · Apply on remotefront.com
REMOTE · TORONTO · CA
$153K–$224K
Full-time
PRINCIPAL
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from remotefront.com
Autodesk is looking for a Principal MLOps Developer to join its AI/ML Platform team. The role focuses on driving operational excellence and building scalable systems for training, deploying, monitoring, and governing machine learning and generative AI models. You will collaborate with research and product teams across design, manufacturing, and entertainment to deliver platform capabilities that support the full AI/ML lifecycle. This is a remote position open to candidates in Ontario, Canada.
Responsibilities
- Drive operational excellence and MLOps practices across the full ML development lifecycle.
- Design and implement automated deployment pipelines for ML models and artifacts.
- Build scalable infrastructure for model training, inference, data processing, and artifact management.
- Develop low-latency, scalable prediction and inference services.
- Implement monitoring, logging, version control, and model governance practices.
- Collaborate with data engineers, researchers, and product teams to streamline operations.
Requirements
- Extensive experience in MLOps and machine learning platform engineering.
- Proficiency in Python, Docker, Kubernetes, and cloud computing.
- Experience designing CI/CD pipelines for machine learning workloads.
Autodesk
San Francisco · US · 14300+ employees
Autodesk is a global leader in design and make software, providing tools for architecture, engineering, construction, manufacturing, and media and entertainment industries. Its platform integrates technologies like AI, robotics, and generative design.
