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 optimize machine learning pipelines for real-world deployment.
Key Skills & Experience
- Proficiency in Python and PyTorch for model development.
- Experience working with image-based machine learning models, including optical, UV, and thermal imaging.
- Understanding of anomaly detection, predictive maintenance, and synthetic data generation.
- Experience with high-voltage equipment is a plus.
How to Apply
To learn more, apply now or send your CV to del@ynh.group.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT System Custom Software Development and IT System Data Services
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