Machine Learning Operations Developer - AI/ML Platform
Description For Machine Learning Operations Developer - AI/ML Platform
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled MLOps Engineer to join their AI/ML Platform team. This role is crucial in ensuring the smooth operationalization of machine learning models and the overall efficiency of their next-generation AI/ML platform.
The position involves working with cutting-edge AI/ML technologies to support platform operations across various domains including design, construction, manufacturing, and media & entertainment. The ideal candidate will be responsible for implementing MLOps practices, automating deployment pipelines, and maintaining scalable infrastructure for model training and inference.
As an MLOps Developer, you'll collaborate with research and product engineering teams, ensuring efficient data pipelines, implementing robust monitoring systems, and maintaining high security standards. The role requires expertise in containerization, CI/CD practices, and infrastructure as code, along with strong programming skills in Python and experience with cloud platforms.
Autodesk offers a competitive compensation package including base salary, annual bonuses, stock options, and comprehensive benefits. The company prides itself on its inclusive culture and commitment to diversity, providing an environment where employees can be their authentic selves while working on meaningful projects that shape the future of design and manufacturing.
The position offers the opportunity to work with a global team, contributing to solutions that power some of the world's most innovative products and designs. If you're passionate about MLOps, have strong technical skills, and want to be part of a company that's transforming how things are made, this role offers an exciting opportunity to make a significant impact.
Responsibilities For Machine Learning Operations Developer - AI/ML Platform
- Drive operational excellence of AI/ML Platform by implementing and optimizing MLOps practices
- Design and implement automated deployment pipelines for machine learning models
- Collaborate with cross-functional teams to design and maintain scalable infrastructure
- Develop and maintain monitoring and logging systems
- Work with data engineers to ensure efficient data pipelines
- Implement version control systems for machine learning models
- Enforce security best practices and compliance standards
- Identify opportunities for process automation and optimization
- Troubleshoot and resolve operational issues
Requirements For Machine Learning Operations Developer - AI/ML Platform
- BS or MS in Computer Science, or related field
- 5+ years of hands-on experience in DevOps and MLOps
- Proficiency in Infrastructure as Code using Terraform or Ansible
- Strong expertise in containerization technologies (Docker, Kubernetes)
- Experience in CI/CD pipelines for machine learning projects
- Strong scripting skills in Python, Bash
- Familiarity with monitoring tools (Prometheus, Grafana, ELK Stack)
- Understanding of security best practices in MLOps
- Excellent collaboration and communication skills
- Problem-solving abilities for complex operational issues
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