Senior Machine Learning Operations Developer, Inference, Ai/Ml Platform (Toronto)

Senior Machine Learning Operations Developer, Inference, Ai/Ml Platform (Toronto)

16 Oct
|
Autodesk
|
Toronto

16 Oct

Autodesk

Toronto

Senior Machine Learning Operations Developer, Inference, AI/ML Platform Position OverviewAutodesk, a global leader in 3 D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in 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 from various domains including design, construction, manufacturing, and media & entertainment to support platform operations.Responsibilities Drive the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practicesDesign and implement automated deployment pipelines for machine learning models, ensuring seamless transitions from development to productionCollaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, and data processingDevelop and maintain robust monitoring and logging systems to track model performance, system health, and overall platform efficiencyWork closely with data developers to ensure efficient data pipelines for model training and validationImplement version control systems for machine learning models and contribute to model governance practicesContribute to the implementation of robust model governance practices, version control systems, and adherence to compliance standards. Uphold data privacy and ethical considerations,



fostering trust in our AI/ML solutionsEnforce security best practices and compliance standards in all aspects of MLOps, ensuring data privacy and platform securitIdentify opportunities for process automation, optimization, and implement strategies to enhance the overall MLOps lifecyclePlay a key role in identifying and resolving operational issues, contributing to incident response and system recoveryMinimum Qualifications BS or MS in Computer Science, or related field5+ years of hands-on experience in Dev Ops and MLOps, with a focus on deploying and managing machine learning models in production environmentsProficiency in implementing Infrastructure as Code practices using tools such as Terraform or AnsibleStrong expertise in containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloadsDemonstrated experience in setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projectsStrong scripting skills in Python, Bash, or similar languages for automating operational processesFamiliarity with monitoring and logging tools (e.G., Prometheus, Grafana, ELK Stack) for tracking system and model performanceUnderstanding of security best practices in MLOps, including data encryption, access controls, and compliance standardsExcellent collaboration and communication skills, working effectively with cross-functional teams including data developers,



software developers, and researchersProven ability to troubleshoot and resolve complex operational issues in a timely mannerPreferred Qualifications Experience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructureFamiliarity with databases and data storage solutions commonly used in MLOps, such as SQL, No SQL, or data lakesExposure to popular machine learning frameworks (Tensor Flow, Py Torch) and their integration into MLOps processesPrevious experience with collaboration tools like Git for version control and Jira for project managementFamiliarity with Agile development methodologies and working in an iterative, cooperative environmentDéveloppeur senior en opérations d'apprentissage automatique, inférence, plateforme IA/ML Aperçu du posteAutodesk, leader mondial des logiciels de conception 3 D, d'ingénierie, de fabrication et de divertissement, recherche un développeur MLOps senior expérimenté pour rejoindre notre équipe chargée de la plateforme IA/ML. Ce poste est essentiel pour garantir la mise en œuvre fluide des modèles d'apprentissage automatique et l'efficacité globale de notre plateforme 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 services d'Autodesk. Vous collaborerez avec les équipes de recherche et d'ingénierie 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.Responsabilités#J-18808-Ljbffr

📌 Senior Machine Learning Operations Developer, Inference, Ai/Ml Platform (Toronto)
🏢 Autodesk
📍 Toronto

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