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.