Autodesk
MachineLearningPlatform/MLOpsLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Machine Learning Platform / MLOps Lead at Autodesk. Skills: MLOps, DevOps, Machine Learning. Own ML infrastructure. Improve ML infrastructure”
Industry & Context.
Problem solver
What They're Looking For.
Must Have
5+ years in MLOps, DevOps, Backend, Python skills, CI/CD experience, Docker experience, Cloud experience, ML lifecycle familiarity, ML workflows familiarity, Problem solver skills, System design skills
Nice to Have
Kubernetes experience, ML frameworks experience, Data pipelines experience, Model versioning experience
What You'll Do.
Own ML infrastructure
Improve ML infrastructure
Improve CI/CD pipelines
Monitor production systems
Triage production issues
Manage ML models release
Manage feature release
Ensure system reliability
Ensure scalable architecture
Maintain internal tools
Support release processes
Identify release risks
Improve delivery efficiency
Maintain core infrastructure
Maintain internal platforms
How You'll Work.
Team & Collaboration
ML teams; Software Engineering teams
Full Job Description
**Job Requisition ID #** 26WD98434 **Machine Learning Platform / MLOps Lead** **Location:** Serbia **About the Role** We are looking for a **Machine Learning Platform / MLOps Lead** to join our Media & Entertainment team, supporting next-generation AI solutions for Autodesk Flow Studio (formerly Wonder Studio), our state-of-the-art AI-powered VFX platform. This role will bridge Machine Learning and Software Engineering teams, with a focus on **owning ML infrastructure, improving developer experience, and ensuring the reliable delivery of ML models and features into production.** You will build and maintain the systems, tools, and processes that enable ML teams to **develop, test, deploy, and monitor ML models and features efficiently and safely**. **Key Responsibilities** * Own and improve **ML infrastructure and CI/CD pipelines** * Monitor production systems, triage issues, and improve alerting/automation * Manage ML models and feature release**across environments** * Ensure **code quality, system reliability, and scalable architecture** * Build and maintain **internal tools** to improve ML development * Support release processes, identify risks, and improve delivery efficiency * Maintain core infrastructure and existing internal platforms **What We’re Looking For** * 5+ years in **MLOps, DevOps, Backend, or similar roles** * Strong **Python** skills * Experience with **CI/CD, Docker, and cloud (AWS preferred)** * Familiarity with **ML lifecycle and workflows** * Strong problem solver and system design skills **Nice to have:** Kubernetes, ML frameworks (PyTorch/TensorFlow), data pipelines, model versioning (edited) ****Learn More**** **About Autodesk** Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our cu
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