Job Specifications
Job Requisition ID #
25WD87571
25WD87571, Machine Learning Operations Developer: AI/ML Platform
French translation to follow!/Traduction francaise a suivre!
About Autodesk
Autodesk makes software for people who make things. We are a global leader in 3D design, engineering, manufacturing, and entertainment software. Our customers use Autodesk software to design and make the physical and virtual worlds that we live in. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film or played an immersive game, chances are you've experienced what millions of Autodesk customers are doing with our software.
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.
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: 5+ 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 processe
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
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 in MLOps, such as SQL, NoSQL, or data lakes
Machine Learning Frameworks: Exposure to popular machine learning frameworks (TensorFlow, PyTorch) and their integration into MLOps processes
Collaboration Tools: Previous experience with collaboration tools like Git for version control and Jira for project management
Agile Methodology: Familiarity with Agile development methodologies and working in an iterat
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...
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