A growing technology company is seeking a Machine Learning Engineer to develop predictive maintenance models for robotic components. This role involves building models from scratch using optical, UV, and thermal imaging data, as well as environmental sensor data such as humidity, temperature, and pressure.

Key Responsibilities

• Develop machine learning models to detect anomalies and failure patterns in robotic components.
• Use Python and PyTorch to process real-time image and sensor data.

Data Processing & Synthetic Data Generation

• Create synthetic datasets to enhance model training and failure mode analysis.
• Work with high-voltage equipment data to refine predictive capabilities.
• Work with manufacturers to improve equipment reliability through machine learning insights.
• Collaborate with an in-house data scientist to process and analyze ML outputs.
• Set up and o...