AI Automation Engineer

Role Overview

Contribute to the team as an AI Automation Engineer, bringing experience in machine learning, data annotation, and quality assurance. The role involves building automation for sensor-data ingestion, training and deploying machine learning models, and designing data collection pipelines.

What You Will Do

Build automation for sensor-data ingestion, train and deploy machine learning models, design data collection pipelines, and analyze labeling defects and model-error patterns.

Why It Might Be a Fit

The ideal candidate will have demonstrated experience in machine learning, data annotation, and quality assurance, with strong Python skills and experience in data validation, model evaluation, and machine learning workflows.

Requirements

• Demonstrated experience training, fine-tuning, and deploying machine learning models.
• Experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications.
• Experience designing data collection pipelines and ground truth generation workflows.
• Experience in data annotation and quality assurance for autonomous systems or computer vision projects.
• Strong Python skills and experience automating data validation, model evaluation, and machine learning workflows.
• Understanding of computer vision datasets, model metrics, experiment tracking, version control, and deployment practices.

Tagged as: Python