Position Overview
The Fusion Machine Learning team is a multi-disciplinary team of engineers and researchers developing AI/ML solutions to some of the biggest problems in 3D design, manufacturing, and mechanical engineering. We are seeking anMLOps Developer
who is passionate about transforming mature production-ready AI-powered applications throughoptimizingthe underlying infrastructure.
You will collaborate with researchers and engineers to continuously improve the data,trainand release pipelines by automating repositories to ensure quality and interoperability with deploy systems and upgrading prototype code to run on large cloud-based ML Learning training infrastructure.
You will report to the Fusion Platform ML manager and play a critical role in the Autodesk AI strategy.
The team is hybrid-remote,locatedacross Canada and US.
Responsibilities
Operational Efficiency
:
Improve the team's efficiency by implementing
MLOpsand Dev Ops practices
Model Inference
:
Develop,maintain, and ensure the reliability of the team’s model inference services
Deployment Automation
:
Adapt research models to automated deployment pipelines
Scalable Development
:
Collaborate with engineers and researchers to ensure research code can transition to training and inference at scale
Monitoring and Logging
:
Track model performance, system health, and overall platform efficiency
Version Control and Model Governance
:
Mature single-version codebases toiterable, pipeline-deployedand version-controlled solutions
Security, Compliance and Governance
:
Contribute to the implementation of model governancepracticesandenforcecompany-wide security best practices and compliance standards in all aspects of Dev Ops andMLOps
Continuous Improvement
:
Identifyopportunities for process automation, optimization, and implement strategies to enhance theMLOpslifecycle
Troubleshooting and Incident Response
:
Collaborate with cross-functional teams to ensure SLA and requirements for new features and releases are met.
Minimum Qualifications
MLOps/ Dev Ops Experience
:3-5 years of hands-on experience inMLOps/ Dev Ops in a production environment
Cloud Experience
:
Experience with cloud platforms, such as AWS or Azure, for deploying and managing machine learning infrastructure (Sage Maker Endpoints,Azure
ML)
Infrastructure as Code (IaC):Proficiencyin implementing Infrastructure as Code practices using tools such as Terraform
Containerization
:
Expertisein containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning applications
CI/CD
:
Demonstratedexperience setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects
Inference Services
:
Experience in building reliable and scalable inference APIs (Flask,FastAPI)
Security Awareness
:
Understandingsecurity best practices inMLOps, including data encryption, access controls, and compliance standards.
Preferred Qualifications
Machine Learning Frameworks:
Exposure to popular machine learning frameworks (Tensor Flow,PyTorch) and their integration intoMLOpsprocesses
Inference Acceleration:
Familiarity with leveraging inference accelerator tools (ONNX,Tensor
RT, Triton) for real-time andhigh-throughputinference runtimes
Monitoring Tools:
Familiarity / experience with monitoring and logging tools (e.g., Prometheus, Grafana, or ELK Stack) for tracking model and system performance
Learn More / Plus d'information
About Autodesk / À propos d’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 culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Bienvenue chez Autodesk ! Nos…
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