Job Specifications
Job Requisition ID #
25WD92306
Job Description
Principal Machine Learning Developer - AI/ML Platform
About Autodesk
Autodesk is a global leader in 3D design, engineering, manufacturing, and entertainment software. Our customers use Autodesk software to design and make the physical world that we live in--from complex structures like tall skyscrapers, to strong bridges, to modern cars and even eye-popping movies. The AI/ML Platform helps enable and integrate smart solutions into our software products that improves the design and make process.
Position Overview
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled 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. This role offers a unique opportunity to contribute to the operational success of a strategic AI/ML platform and collaborate with diverse teams to drive innovation in 3D design, engineering, and entertainment software
Responsibilities
Operational Efficiency: Drive the operational excellence of our AI/ML Platform by implementing and optimizing MLOps practices
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, and maintain scalable infrastructure for model training, inference, and data processing
Monitoring and Logging: Develop and maintain robust 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 of MLOps, ensuring data privacy and platform security
Continuous Improvement: Identify opportunities for process automation, optimization, and implement strategies to enhance the overall MLOps lifecycle
Troubleshooting and Incident Response: Play a key role in identifying and 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: 4+ years of hands-on experience in DevOps and MLOps, with a focus on deploying and managing machine learning models in production environments
Infrastructure as Code (IaC): Proficiency in implementing Infrastructure as Code practices using tools such as Terraform or Ansible
Containerization: Strong expertise in containerization technologies (Docker, Kubernetes) for orchestrating and scaling machine learning workloads
CI/CD: Demonstrated experience 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 of security best practices in MLOps, 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 issues in a timely manner
Analytical advisor role that requires understanding of the theories and concepts of a discipline and the ability to apply best practices
A common career stabilization point (AKA the "full-contributor" level) for Professional roles
Require knowledge and experience such that the incumbent can understand the full range of relevant principles, practices, and practical applications within their discipline
Solve complex problems of diverse scope by taking a new perspective on existing solutions and applying knowledge of best practices in practical situati
About the Company
Autodesk is changing how the world is designed and made.
Our technology spans architecture, engineering, construction, product design, manufacturing, and media and entertainment. We empower innovators everywhere to solve challenges, big and small. From greener buildings to smarter products and more mesmerizing blockbusters, Autodesk software helps our customers design and make a better world for all.
Over 100 million people use Autodesk software, like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more, to unl...
Know more