About the role

Senior MLOps Developer operationalizing machine learning models and scalable AI/ML infrastructure for Autodesk’s design and entertainment software. Building deployment, monitoring, governance, and recovery systems.

Responsibilities

Drive operational excellence of Autodesk’s AI/ML Platform by implementing and optimizing MLOps practices
Design and implement automated deployment pipelines for machine learning models from development to production
Design, implement, and maintain scalable infrastructure for model training, inference, and data processing
Develop and maintain monitoring and logging systems for model performance, system health, and platform efficiency
Work with data developers on efficient training and validation data pipelines
Implement model version control and contribute to model governance and compliance practices
Uphold data privacy, ethical considerations, security best practices, and platform security
Identify process automation and optimization opportunities across the MLOps lifecycle
Identify and resolve operational issues and contribute to incident response and system recovery
Collaborate with research, product engineering, data developers, software developers, and researchers across Autodesk’s design, construction, manufacturing, and media and entertainment domains

BS or MS in Computer Science or a related field
5+ years of hands-on DevOps and MLOps experience deploying and managing machine learning models in production
Proficiency with Infrastructure as Code using Terraform or Ansible
Strong expertise with Docker and Kubernetes for orchestrating and scaling machine learning workloads
Experience setting up and managing CI/CD pipelines for machine learning projects
Strong scripting skills in Python, Bash, or similar languages
Familiarity with Prometheus, Grafana, ELK Stack, or similar monitoring and logging tools
Understanding of MLOps security best practices, including data encryption, access controls, and compliance standards
Collaboration and communication skills for working with cross-functional teams
Ability to troubleshoot and resolve complex operational issues promptly
Preferred: experience with AWS or Azure
Preferred: familiarity with SQL, NoSQL, or data lakes
Preferred: exposure to TensorFlow or PyTorch
Preferred: Git and Jira experience
Preferred: Agile development methodologies