Senior Machine Learning Operations Developer, Inference, AI/ML Platform

Pomona College; San Francisco (CA); On-site; USD 131,400 - 235,950; Full time

Job summary

Autodesk is seeking a Senior MLOps Developer to operationalize machine learning models and scale our AI/ML Platform across products and services. You will lead deployment pipelines, monitoring, and governance to ensure reliable, compliant, and efficient model workflows.

Collaborating with research, design, manufacturing, and media teams, you will build scalable infrastructure for training, inference, data processing, and secure data practices while advancing incident response and platform

Qualifications

• BS or MS in Computer Science or related field.
• 5+ years of hands-on DevOps and MLOps experience deploying ML models in production.
• Experience with Infrastructure as Code using Terraform or Ansible.
• Strong containerization with Docker and Kubernetes.
• CI/CD pipelines for ML projects.
• Scripting in Python or Bash.
• Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK).
• Understanding of security best practices in MLOps and data privacy.

Responsibilities

• Drive operational excellence of the AI/ML Platform by implementing and optimizing MLOps practices.
• Design and implement automated deployment pipelines for ML 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 with data developers to ensure efficient data pipelines for model training and validation.
• Implement version control for ML models and contribute to model governance practices.
• Enforce security and compliance standards in all MLOps aspects, upholding data privacy.
• Identify opportunities for automation and optimization across the MLOps lifecycle.
• Participate in incident response and system recovery.

Skills

MLOps

DevOps

CI/CD

Python

Bash

Monitoring

Security

Collaboration

Troubleshooting

Education

BS or MS in Computer Science or related field

Tools

Terraform

Ansible

Docker

Kubernetes

Prometheus

Grafana

ELK Stack

Git

Jira

CI/CD tooling

Job description

Senior Machine Learning Operations Developer, Inference, AI/ML Platform

Expires on October 16, 2026

Position 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.

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 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

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 processes
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) for tracking system and model performance
• Understanding of security best practices in MLOps, including data encryption, access controls, and compliance standards
• Excellent collaboration and communication skills, working effectively with cross‑functional teams including data developers, software developers, and researchers
• Proven ability to troubleshoot and resolve complex operational issues in a timely manner

Preferred Qualifications

• Experience with cloud platforms, especially AWS or Azure, for deploying and managing machine learning infrastructure
• Familiarity with databases and data storage solutions commonly used in MLOps, such as SQL, NoSQL, or data lakes
• 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 Agile development methodologies and working in an iterative, collaborative environment

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $131,400 and $235,950. 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.

Equal Opportunity Employer / Non-Discrimination

At Autodesk, we’re building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.