Senior Machine Learning and AI Engineer

Responsibilities

• Lead the end-to-end development of ML/AI systems, from problem definition and data strategy to model development and production deployment
• Design and build scalable data pipelines by integrating with existing platforms and establishing new data sources
• Develop and deploy machine learning models for prediction, recommendation, and anomaly detection in user management workflows
• Build and integrate real-time and batch inference systems into APIs, microservices, and user-facing applications
• Collaborate with platform and experience engineering teams on service architecture, APIs, and event-driven systems
• Establish best practices for ML development, experimentation, deployment, and monitoring
• Drive projects independently in ambiguous environments, taking ownership from concept through delivery

Requirements

• Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, or a related field
• 3+ years of experience in Machine Learning, applied AI, or related fields
• Proven experience building and deploying ML systems in production environments
• Strong proficiency in Python and common ML libraries such as PyTorch, TensorFlow, scikit-learn, Pandas, or XGBoost
• Experience designing data pipelines and working with large-scale or distributed data systems
• Solid software engineering skills, including experience building APIs and working with distributed systems
• Experience building and deploying systems on AWS (e.g., S3, Lambda, ECS, or Step Functions)
• Familiarity with event-driven architectures and tools such as CDC, SQS, or SNS

About the Company

Autodesk helps innovators turn their ideas into reality, transforming not only how things are made, but what can be made. From the greenest buildings to the smartest factories, our software empowers creators to design and make a better world.