Senior Machine Learning Operations Developer, Inference, AI/ML Platform Job Requisition ID: 26WD94525Position Overview Autodesk, a global leader in 3D 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.ResponsibilitiesDrive 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 securityIdentify 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 QualificationsBS or MS in Computer Science, or related field5+ years of hands‑on experience in DevOps 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 QualificationsExperience 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, NoSQL, or data lakesExposure to popular machine learning frameworks (TensorFlow, PyTorch) 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, collaborative environmentSalary Transparency Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $78,200 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.#J-18808-Ljbffr