ML Engineer focusing on building and operating large-scale machine learning systems at Autodesk. Collaborating with AI researchers and software engineers to create reliable ML infrastructure.
Responsibilities
Build and maintain components of ML pipelines for data preparation, model training, evaluation, deployment, and monitoring
Develop reliable software and infrastructure that supports scalable machine learning workflows
Contribute to distributed data processing and training systems used by researchers and engineering teams
Support data ingestion, transformation, validation, and serving for large-scale structured and semi-structured technical datasets
Improve automation, testing, CI/CD, observability, and operational reliability for ML systems
Troubleshoot data, infrastructure, and performance issues in collaboration with senior engineers
Participate in design discussions and contribute ideas that improve system scalability, maintainability, and efficiency
Document technical decisions, workflows, and operational processes clearly
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience
At least 2 years of industry experience in software engineering, machine learning infrastructure, distributed systems, data platforms, or related areas
Strong software engineering fundamentals, including coding, testing, debugging, and code quality
Proficiency in Python and experience building production-quality software
Experience with cloud platforms such as AWS, Azure, or GCP
Familiarity with containers, version control, CI/CD, and modern development workflows
Experience working with data-intensive systems, backend systems, or ML pipelines
Ability to work independently on well-defined problems with moderate ambiguity
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