Principal Machine Learning Developer, AI/ML Platform

Principal Machine Learning Operations Developer, 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 a skilled Principal 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 deliver platform capabilities that support the full AI/ML development lifecycle. As a principal-level contributor, you will help build innovative capabilities that enable faster, more secure development and deployment of machine learning and generative AI solutions. You will take ownership of critical platform components, provide architectural direction, and contribute to scalable systems for model training, inference, data processing, deployment automation, monitoring, governance, and operations. Location: Canada. Open to Toronto, Ontario or Remote Ontario. Responsibilities • Drive the operational excellence and technical direction of our AI/ML Platform by implementing and optimizing MLOps practices across the full machine learning development lifecycle • Lead the design and engineering of software systems and platform services for the AI/ML Platform, contributing to scalable, secure, and reliable ML development and operations • Design and implement automated deployment pipelines for machine learning models and ML artifacts, ensuring seamless transitions from development to production • Develop comprehensive systems to automate and optimize laborious ML development and operational processes, integrating them into the platform to streamline operations • Collaborate with cross-functional teams to design, implement, and maintain scalable infrastructure for model training, inference, data processing, and ML artifact management • Develop tools for building, deploying, and operating ML artifacts in production environments, facilitating a smooth transition from development to deployment • Automate and orchestrate tasks related to managing large-scale data transformation, data processing, and data stores that support model training, validation, deployment, and operations • Design and implement low-latency, scalable prediction and inference services to support the diverse needs of platform users and Autodesk product teams • Develop and maintain robust monitoring and logging systems to track model performance, system health, operational reliability, and overall platform efficiency • Work closely with data developers to ensure efficient data pipelines for model training, validation, deployment, and ongoing platform operations • Collaborate across diverse teams, including machine learning researchers, data developers, software developers, product managers, software architects, and operations teams, fostering a collaborative and cohesive work environment • 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. Uphold data privacy and ethical considerations, fostering trust in our AI/ML solutions • Enforce 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 • Take ownership of critical components of the platform, providing architectural direction and contributing to the overall success of the AI/ML Platform Minimum Qualifications • BS or MS in Computer Science, or equivalent practical experience • Experience: 8+ years of experience in software development and engineering, with a solid record of delivering production systems and services • Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks • Hands‑on experience with AI/ML frameworks (such as TensorFlow , PyTorch ) and familiarity with the lifecycle of AI/ML model development, from training to deployment • Strong coding skills in languages commonly used in AI/ML and system development, such as Python, Java, or Go • Ability to tackle complex technical challenges, analyze potential solutions, and implement the most effective ones • Strong communication skills to effectively collaborate with cross-functional teams, along with the ability to work independently • Deep understanding of performance metrics and latency optimization techniques, with the ability to diagnose, tune, and enhance the efficiency of serving systems • A continuous learning mindset to stay updated with the latest trends and technologies in AI/ML, cloud computing, and software engineering Preferred Qualifications • Exposure to leveraging GPU computing for AI/ML workloads, including experience with CUDA, OpenCL, or other GPU programming tools, to significantly enhance model training and inference performance • Experience with big data technologies and ecosystems (Hadoop, Spark, Kafka) for processing and analyzing large datasets in a distributed computing environment • Familiarity with tools and frameworks for monitoring and managing the performance of AI/ML models in production (e.g., MLflow, Kubeflow, TensorBoard) • Experience with HPC techniques and technologies for optimizing computational workloads, particularly in the context of AI/ML model training and inference Développeur principal MLOps, plateforme IA/ML Aperçu du poste Autodesk, leader mondial des logiciels de conception 3D, d'ingénierie, de fabrication et de divertissement, recherche un développeur MLOps principal expérimenté pour rejoindre notre équipe chargée de la plateforme IA/ML. Ce poste est essentiel pour garantir la mise en œuvre sans heurts 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 de 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 fournir des fonctionnalités de plateforme prenant en charge l’ensemble du cycle de vie du développement IA/ML. En tant que collaborateur de niveau principal, vous contribuerez à la mise en place de fonctionnalités innovantes permettant un développement et un déploiement plus rapides et plus sécurisés des solutions d’apprentissage automatique et d’IA générative. Vous serez responsable de composants critiques de la plateforme, fournirez des orientations architecturales et contribuerez à la mise en place de systèmes évolutifs pour l’entraînement des modèles, l’inférence, le traitement des données, l’automatisation du déploiement, la surveillance, la gouvernance et les opérations. Lieu : Canada. Poste ouvert à Toronto (Ontario) ou en télétravail depuis l’Ontario. Responsabilités • Assurer l’excellence opérationnelle et l’orientation technique de notre plateforme IA/ML en mettant en œuvre et en optimisant les pratiques MLOps tout au long du cycle de vie complet du développement de l’apprentissage automatique • Diriger la conception et l’ingénierie des systèmes logiciels et des services de la plateforme IA/ML, en contribuant à un développement et à des opérations ML évolutifs, sécurisés et fiables • Concevoir et mettre en œuvre des pipelines de déploiement