Machine Learning Operations Developer, AI/ML Platfor

Autodesk; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Autodesk seeks an MLOps Developer to join the AI/ML Platform team in a hybrid role based in Toronto or Montreal. You will operationalize ML models, deploy pipelines, and build scalable infrastructure for training, inference and data processing.

You will collaborate with research and product engineering teams across design, construction, manufacturing, and media/entertainment to ensure platform efficiency and governance while upholding data privacy and security standards.

Qualifications

• BS or MS in Computer Science, or related field.
• 2+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing ML models in production.
• Experience Infrastructure as Code with Terraform or Ansible.
• Containerization with Docker and Kubernetes for ML workloads.
• CI/CD pipelines for ML projects.
• Scripting in Python or Bash for automation.
• Monitoring/logging with Prometheus, Grafana, ELK Stack.
• Security best practices in MLOps including data encryption and access controls.
• Collaborative, cross-functional teamwork.
• Troubleshooting operational issues promptly.

Responsibilities

• Own MLOps practices and automate ML model deployments.
• Build and maintain CI/CD pipelines for ML workloads.
• Design scalable infra for training, inference, and data processing.
• Develop monitoring/logging to track model performance and health.
• Collaborate with data engineers to optimize data pipelines.
• Implement model governance and version control for ML models.
• Ensure data privacy and security compliance across the platform.
• Identify automation opportunities to improve MLOps lifecycle.
• Support incident response and system recovery processes.

Skills

MLOps

DevOps

Python

CI/CD

Terraform

Ansible

Docker

Kubernetes

Monitoring

Security

Education

BS or MS in Computer Science, or related field

Tools

Terraform

Ansible

Docker

Kubernetes

CI/CD

Prometheus

Grafana

ELK Stack

Git

Jira

Job description

Machine Learning Operations Developer, Inference, AI/ML Platform L'affichage de poste en français suivra / The French job posting follows

Position Overview

Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to 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 teams from various domains including design, construction, manufacturing, and media & entertainment to support platform operations. The role is hybrid Toronto or Montreal.

Responsibilities

• Contribute to the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices
• Develop and maintain automated deployment pipelines for machine learning models, supporting seamless transitions from development to production
• Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processing
• Help develop and maintain monitoring and logging systems to track model performance, system health, and overall platform efficiency
• Work closely with data developers to ensure efficient data pipelines for model training and validation
• Implement version control systems for machine learning models and contribute to model governance practices
• Contribute to the implementation of robust model governance practices, version control systems, and adherence to compliance standards.
• Support data privacy and ethical considerations, fostering trust in our AI/ML solutions
• Implement security best practices and compliance standards in all aspects of MLOps, ensuring data privacy and platform security
• Identify opportunities for process automation and optimization, and implement strategies to enhance the overall MLOps lifecycle
• Participate in identifying and resolving operational issues, contributing to incident response and system recovery

Minimum Qualifications

• BS or MS in Computer Science, or related field
• 2+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing machine learning models in production environments
• Experience implementing Infrastructure as Code practices using tools such as Terraform or Ansible
• Experience with containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloads
• Experience setting up and maintaining Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects
• Experience scripting in Python, Bash, or similar languages for automating operational processes
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and model performance
• Understanding of security best practices in MLOps, including data encryption, access controls, and compliance standards
• Excellent collaboration and communication skills, working effectively with cross-functional teams including data developers, software developers, and researchers
• Ability to troubleshoot and resolve operational issues in a timely manner

Preferred Qualifications

• Experience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructure
• Familiarity with databases and data storage solutions commonly used in MLOps, such as SQL, NoSQL, or data lakes
• Exposure to popular machine learning frameworks (TensorFlow, PyTorch) and their integration into MLOps processes
• Previous experience with collaboration tools like Git for version control and Jira for project management
• Familiarity with Agile development methodologies and working in an iterative, collaborative environment

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Développeur MLOps (Machine Learning Operations), Inférence, Plateforme IA/ML

Aperçu du poste

Autodesk, chef de file mondial dans le domaine des logiciels de conception 3D, d’ingénierie, de fabrication et de divertissement, est à la recherche d’un développeur MLOps pour se joindre à notre équipe de la plateforme IA/ML. Ce poste contribuera à assurer la mise en œuvre sans heurts des modèles d’apprentissage automatique ainsi que l’efficacité globale de notre plateforme d’IA/ML de nouvelle génération, utilisée dans le développement de solutions d’apprentissage automatique et d’IA générative qui alimentent la suite de produits et de services d’Autodesk.

Responsabilités

• Contribuer à l’excellence opérationnelle de notre plateforme d’IA/ML en mettant en œuvre et en optimisant les pratiques MLOps
• Développer et maintenir des pipelines de déploiement automatisés pour les modèles d’apprentissage automatique, afin de faciliter une transition sans heurts du développement à la production
• Collaborer avec des équipes interfonctionnelles pour concevoir, mettre en œuvre et maintenir une infrastructure évolutive pour l’entraînement des modèles, l’inférence et le traitement des données
• Contribuer à l’élaboration et à la maintenance de systèmes de surveillance et de journalisation afin de suivre la performance des modèles, l’état du système et l’efficacité globale de la plateforme
• Travailler en étroite collaboration avec les développeurs de données pour garantir l’efficacité des pipelines de données destinés à l’entraînement et à la validation des modèles
• Mettre en œuvre des systèmes de contrôle de version pour les modèles d’apprentissage automatique et contribuer aux pratiques de