Machine Learning Operations Developer, AI/ML Platfor

Role details

Job Requisition ID # 26WD101494 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 ______________________________________________________________________ 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. Vous collaborerez avec les équipes de recherche et d’ingénierie de produit issues de divers domaines, notamment la conception, la construction, la fabrication, ainsi que les médias et le divertissement, afin de soutenir les opérations de la plateforme. Ce poste est hybride (Toronto ou Montréal). 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