- 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 to support platform operations

- 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 securit

- 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- Demonstrated experience in setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines for machine learning projects

- BS or MS in Computer Science, or related field

- Understanding of security best practices in MLOps, including data encryption, access controls, and compliance standards

- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and model performance

- 5+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing machine learning models in production environments

- Proven ability to troubleshoot and resolve complex operational issues in a timely manner

- Strong expertise in containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloads

- Proficiency in implementing Infrastructure as Code practices using tools such as Terraform or Ansible

- Robust scripting skills in Python, Bash, or similar languages for automating operational processes

- Excellent collaboration and communication skills, working effectively with cross-functional teams including data developers, software developers, and researchers

- Familiarity with Agile development methodologies and working in an iterative, collaborative environment

- Exposure to popular machine learning frameworks (TensorFlow, PyTorch) and their integration into MLOps processes

- Previous experience with collaboration tools like Git for version control and Jira for project management

- Familiarity with databases and data storage solutions commonly used in MLOps, such as SQL, NoSQL, or data lakes

- Experience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructure

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