AI Engineer - Sensor Automation

STAFFLINK SERVICES PRIVATE LIMITED

Singapore, Singapore
Python for machine learning and data engineering
Time-series ml models experience
Pytorch tensorflow scikit-learn frameworks
The role involves designing and developing ML/AI models specifically for industrial water use cases such as sensor anomaly detection and predictive maintenance

Job Summary

  • The role involves designing and developing ML/AI models specifically for industrial water use cases such as sensor anomaly detection and predictive maintenance.
  • Candidates will integrate AI models with IoT platforms, SCADA systems, and edge devices while optimizing for latency and power efficiency in industrial environments.
  • The position requires implementing MLOps workflows including model versioning, monitoring, retraining, and rollback on cloud platforms like AWS or Azure.

Matching Summary

Match Score: 85

The role involves designing and developing ML/AI models specifically for industrial water use cases such as sensor anomaly detection and predictive maintenance.

Skills & Requirements

Must-have

  • Python for machine learning and data engineering
  • Time-series ML models experience
  • PyTorch TensorFlow scikit-learn frameworks
  • IoT data pipelines streaming and batch
  • Cloud platforms containerization Docker Kubernetes

Nice-to-have

  • SCADA OT systems industrial protocols
  • Physics-informed ML hybrid modelling approaches
  • Sensor data flow pressure vibration acoustic
  • Firmware hardware team collaboration
  • Water utilities energy manufacturing domain knowledge

Key Requirements

  • Bachelor's or Master's degree in Computer Science Engineering Data Science or related fields
  • Strong proficiency in Python for machine learning
  • Solid foundation in statistics signal processing and anomaly detection

Work Rights

Not specified

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