Principle Machine Learning Ops Developer, AI/ML Platform
Description For Principle Machine Learning Ops Developer, AI/ML Platform
Autodesk is seeking a Principal Machine Learning Operations Developer to join their AI/ML Platform (AMP) team. This role combines software engineering excellence with machine learning operations expertise, focusing on building and maintaining central components for ML/AI model development and deployment. The position offers an opportunity to shape the future of Autodesk's AI/ML capabilities while working with cutting-edge technologies.
The role involves designing and implementing sophisticated systems for ML model deployment, observability, and scaling. You'll work with modern cloud platforms (AWS, Azure) and technologies like Kubernetes, Docker, and various ML frameworks. The position requires expertise in MLOps, data engineering, and DevOps practices, with hands-on development in languages like Go, Python, and Java.
As a principal engineer, you'll take on technical leadership responsibilities, mentoring team members and conducting design reviews. The role demands end-to-end ownership of components, from architecture to production support. You'll collaborate across diverse teams, including ML researchers, developers, and product managers.
Autodesk offers a competitive compensation package, with base salary ranging from $141,600 to $194,700 for BC-based roles. The company prides itself on fostering an inclusive culture where employees can be their authentic selves while doing meaningful work that impacts the future of design and engineering.
The ideal candidate will have 8+ years of software development experience, strong technical skills across MLOps and cloud platforms, and excellent communication abilities. This remote position offers the opportunity to work with a leading software company known for innovation in various industries, from architecture to entertainment.
Responsibilities For Principle Machine Learning Ops Developer, AI/ML Platform
- Design, implement and manage software systems for the AI/ML Platform
- Mentor team members and conduct design reviews
- Define multi-cloud architecture components across AWS and Azure
- Build AI/ML observability systems for model monitoring
- Develop tools for ML artifact deployment in production
- Manage big data transformation and processing
- Design and implement scalable prediction and inference services
- Take end-to-end ownership of components including design, implementation, and support
Requirements For Principle Machine Learning Ops Developer, AI/ML Platform
- Bachelor's degree in Computer Science or equivalent practical experience
- 8+ years of software development experience
- Experience with MLOps, DevOps, and data engineering
- Proficiency in golang, python, and Java
- Knowledge of DevOps practices, containerization, and orchestration tools
- Experience with distributed data processing frameworks
- Experience with ML model deployment and observability
- Knowledge of AWS and/or Azure cloud platforms
- Strong communication and collaboration skills
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