Senior Machine Learning Operations Developer: AI/ML Platform

L'affichage de poste en français suivra / The French job posting follows. 26WD100499, Senior Machine Learning Operations Developer: AI/ML Platform Position Overview Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled 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 to support platform operations.  Responsibilities Drive the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices Design and implement automated deployment pipelines for machine learning models, ensuring 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 Develop and maintain robust 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. 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, optimization, and implement strategies to enhance the overall MLOps lifecycle Play a key role in identifying and resolving operational issues, contributing to incident response and system recovery ​  Minimum Qualifications BS or MS in Computer Science, or related field 5+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing machine learning models in production environments Proficiency in implementing Infrastructure as Code practices using tools such as Terraform or Ansible Strong expertise in containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloads Demonstrated experience in setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects Strong scripting skills in Python, Bash, or similar languages for automating operational process Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and…