AI Engineering Specialist
Tasks
- Build predictive maintenance models
- Collect and process real time and historical data
- Create automation routines to optimize operations
- Design and implement deep learning models
- Design and implement machine learning models
- Develop anomaly detection and pattern recognition
- Ensure data quality and integrity
- Integrate AI models into industrial infrastructure
- Participate in acceptance testing calibration and configuration
- Perform time series forecasting
- Provide technical consultation for incidents and recovery
- Support autonomous operations and remote diagnostics
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Anomaly Detection | DCS | Data Cleansing | Data Normalization | Data Validation | Deep learning | Edge Computing | Feature Engineering | Machine Learning | Microservices | Modbus | Mqtt | OPC UA | Predictive Maintenance | Real Time | Real-time Inference | SCADA | Series analysis | TCP/IP | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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