AI/ML Engineer
3 weeks ago
Job Overview
We are seeking an experienced Senior Software Engineer to join the AMP team, focusing on the design of our AI/ML serving platform within a hybrid cloud architecture.
Key Responsibilities
- Serving System Design: Develop scalable and efficient systems for serving AI/ML models, ensuring seamless deployment and management across diverse environments.
- Hybrid Cloud Architecture Management: Architect and manage a hybrid cloud environment that uses both on-premises resources and multiple cloud platforms to optimize performance, cost, and scalability.
- Model Deployment and Versioning: Oversee the deployment of AI/ML models into production, including the setup of CI/CD pipelines for model deployment and versioning.
- Performance Monitoring and Optimization: Implement monitoring tools and practices to track the performance of AI/ML models in production, identifying bottlenecks and optimizing system and model performance.
- Security and Compliance: Ensure that the AI/ML serving systems follow industry standards and regulatory requirements for data security and privacy.
- Collaboration and Leadership: Work closely with AI/ML researchers, data engineers, and other partners to translate complex AI/ML models into production-ready systems.
- Research and Innovation: Stay informed about the latest developments in AI/ML technologies, cloud computing, and software engineering practices, exploring and integrating solutions to enhance the capabilities and efficiency of the AI/ML serving platform.
Requirements
- Education: BS or MS in Computer Science or equivalent practical experience.
- Experience: 5+ years of experience in software development and engineering, with a solid record of delivering production systems and services.
- Expertise: Hands-on experience with AI/ML frameworks and familiarity with the lifecycle of AI/ML model development.
- Cloud Experience: Experience with designing and managing systems on hybrid cloud architectures.
- Containerization and Orchestration: Familiarity with containerization technologies and orchestration systems.
- DevOps Practices: Knowledge of CI/CD pipelines, infrastructure as code, and other DevOps practices.
- System Performance Optimization: Deep understanding of performance metrics and latency optimization techniques.
About Autodesk
Welcome to Autodesk. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk, our Culture Code is at the core of everything we do.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all.
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