**Job Requisition ID #** 26WD94525 **Position Overview** Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Engineer 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** + **Operational Efficiency:** Drive the operational excellence of our AI/ML Platform by implementing andoptimizingMLOpspractices + **Deployment Automation:** Design and implement automated deployment pipelines for machine learning models, ensuring seamless transitions from development to production + **Scalable Infrastructure:** Collaborate with cross-functional teams to design, implement, andmaintainscalable infrastructure for model training, inference, and data processing + **Monitoring and Logging:** Develop andmaintainrobust monitoring and logging systems to track model performance, system health, and overall platform efficiency + **Collaboration with Data Engineers:** Work closely with data engineers to ensure efficient data pipelines for model training and validation + **Version Control and Model Governance:** Implement version control systems for machine learning models and contribute to model governance practices + **Governance and Trust:** 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 + **Security and Compliance:** Enforce security best practices and compliance standards in all aspects ofMLOps, ensuring data privacy and platform security + **Continuous Improvement:** Identifyopportunities for process automation, optimization, and implement strategies to enhance the overallMLOpslifecycle + **Troubleshooting and Incident Response:** Play a key role inidentifyingand resolving operational issues, contributing to incident response and system recovery **Minimum Qualifications** + **Educational Background:** BS or MS in Computer Science, or related field + **MLOps** **Experience:** 5+ years of hands-on experience in DevOps andMLOps, with a focus on deploying and managing machine learning models in production environments + **Infrastructure as Code (IaC** **):** Proficiencyin implementing Infrastructure as Code practices using tools such as Terraform or Ansible + **Containerization:** Strongexpertisein containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloads + **CI/CD:** Demonstratedexperience in setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects + **Scripting and Automation:** Strong scripting skills in Python, Bash, or similar languages for automating operational processes + **Monitoring Tools:** Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and model performance + **Security Awareness:** Understanding ofsecurity best practices inMLOps, including data encryption, access controls, and compliance standards + **Collaboration Skills:** Excellent collaboration and communication skills, working effectively with cross-functional teams including data engineers, software developers, and researchers + **Problem-solving Skills:** Proven ability to troubleshoot and resolve complex operational issuesin a timely manner **Preferred Qualifications** + **Cloud Experience:** Experience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructure + **Database Knowledge:** Familiarity with databases and data storage solutions commonly used inMLOps, such as SQL, NoSQL, or data lakes + **Machine Learning Frameworks:** Exposure to popular machine learning frameworks (TensorFlow,PyTorch) and their integration intoMLOpsprocesses + **Collaboration Tools:** Previousexperience with collaboration tools like Git for version control and Jira for project management + **Agile Methodology:** Familiarity with Agile development methodologies and working in an iterative, collaborative environment **Learn More** **About Autodesk** Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! **Salary transparency** Salary is one part of Autodesk’s competitive compensation package. For Canada-BC based roles, we expect a starting base salary between $106,500 and $156,200. 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. **Diversity & Belonging** We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging **Are you an existing contractor or consultant with Autodesk?** Please search for open jobs and apply internally (not on this external site).