Artificial Intelligence Engineer

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.