AI Automation Engineer

Technical/Functional Skills

perception or machine learning applications.

computer vision projects.

improvements in dataset accuracy.

learning workflows.

deployment practices.

Roles &

• Demonstrated experience training, fine-tuning, and deploying machine learning models.
• Demonstrated experience generating and managing camera and LiDAR sensor datasets for
• Experience designing data collection pipelines and ground truth generation workflows.
• Demonstrated experience in data annotation and quality assurance for autonomous systems or
• Demonstrated ability to define annotation guidelines, identify labeling defects, and deliver measurable
• Strong Python skills and experience automating data validation, model evaluation, and machine
• Understanding of computer vision datasets, model metrics, experiment tracking, version control, and