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Kerja Sepenuh Masa, Artificial Intelligence Engineer di HYRED - Maukerja

Artificial Intelligence Engineer

Singapore

Kongsi
Simpan

Lokasi Kerja

  • Singapore

Penerangan Kerja

Tanggungjawab

About the opportunity

We are supporting a Singapore-headquartered industrial AI company building technology for predictive maintenance, machine health monitoring and industrial operations.

They are looking for an AI Engineer to develop and deploy machine-learning solutions using real-world sensor and time-series data from industrial equipment.

This is a hands-on role for someone who enjoys taking models beyond experimentation and putting them into production environments where they directly influence asset reliability and operational performance.


What you’ll work on

  • Develop machine-learning and deep-learning models for predictive maintenance, anomaly detection and fault diagnosis.
  • Analyse and preprocess large-scale time-series and industrial sensor datasets.
  • Work with physical signals including vibration, temperature, current, sound and pressure.
  • Build and deploy scalable models for real-time or low-latency prediction.
  • Monitor model behaviour and continuously improve performance using production data.
  • Work with engineering teams to improve data pipelines and model accuracy.
  • Design experiments and use machine data to validate hypotheses and benchmark models.
  • Translate relevant academic research into practical, production-ready approaches.
  • Document models, methodologies and performance for internal and stakeholder use.


What we’re looking for

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Business Analytics or a related discipline.
  • At least 3 years of experience developing and deploying analytical or machine-learning models.
  • Strong experience in:
  • Machine learning
  • Time-series analysis
  • Anomaly / failure detection
  • Proficiency in Python, R or Java.
  • Experience with frameworks such as TensorFlow, PyTorch or Scikit-learn.
  • Familiarity with AWS, GCP or Azure.
  • Understanding of signal processing and industrial sensor data.
  • Ability to work with noisy, high-dimensional real-world datasets.


Peringatan Penting

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