Machine Learning Operations Developer – AI/ML Platform

Autodesk

full-time

Posted on: 9/24/2025

Origin: • 🇨🇦 Canada

✨ AI Apply

Mid-LevelSenior

AnsibleAWSAzureCloudDockerGrafanaKubernetesNoSQLPrometheusPythonPyTorchSQLTensorflowTerraform

About the role

Drive operational excellence of Autodesk's AI/ML Platform by implementing and optimizing MLOps practices
Design and implement automated deployment pipelines for machine learning models
Collaborate to design, implement, and maintain scalable infrastructure for model training, inference, and data processing
Develop and maintain monitoring and logging systems to track model performance and system health
Work closely with data engineers to ensure efficient data pipelines for training and validation
Implement version control systems for machine learning models and contribute to model governance practices
Contribute to governance, trust, data privacy, and ethical considerations in AI/ML solutions
Enforce security best practices and compliance standards across MLOps processes
Identify opportunities for automation and optimization across the MLOps lifecycle
Play a key role in troubleshooting, incident response, and system recovery

BS or MS in Computer Science, or related field
5+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing machine learning models in production environments
Proficiency in Infrastructure as Code (IaC) using tools such as Terraform or Ansible
Strong expertise in containerization technologies (Docker, Kubernetes)
Experience setting up and managing CI/CD pipelines for machine learning projects
Strong scripting skills in Python, Bash, or similar languages for automation
Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack)
Understanding of security best practices in MLOps, including data encryption, access controls, and compliance standards
Excellent collaboration and communication skills
Proven ability to troubleshoot and resolve complex operational issues
Preferred: Experience with cloud platforms (especially AWS or Azure)
Preferred: Familiarity with databases and data storage solutions (SQL, NoSQL, data lakes)
Preferred: Exposure to machine learning frameworks (TensorFlow, PyTorch)
Preferred: Experience with Git for version control and Jira for project management
Preferred: Familiarity with Agile development methodologies