AI Engineer

• Location: Tagore Lane

• Monday - Friday: 8AM - 5.30PM

A technology-driven engineering company delivering intelligent automation, instrumentation, and digital solutions for industrial and water infrastructure systems.

Key Responsibilities

AI & Data Engineering

• Design and develop ML/AI models for industrial water use cases, including:

  • Sensor anomaly and drift detection

  • Water quality forecasting

  • Predictive maintenance for pumps, valves, and meters

• Build scalable time-series analytics pipelines for high-frequency sensor data

• Develop feature engineering pipelines for physical, hydraulic, and signal-based datasets

IoT & Systems Integration

• Integrate AI models with IoT platforms, SCADA systems, and edge devices
• Deploy models across cloud and edge environments (containerized or embedded)
• Collaborate closely with firmware and hardware teams to ensure sensor-aware model design
• Optimize models for latency, reliability, and power efficiency in industrial environments

Cloud & MLOps

• Implement MLOps workflows including model versioning, monitoring, retraining, and rollback
• Deploy AI services on cloud platforms such as AWS, Azure, or equivalent
• Design APIs and data services for real-time and batch inference
• Monitor production model performance and data quality

Applied Research & Innovation

• Apply physics-informed ML, hybrid modelling, or graph-based approaches where relevant
• Translate operational and engineering challenges into AI-solvable problems
• Prototype, validate, and iterate solutions using real industrial datasets
• Document models clearly for engineering teams, operations, and regulatory review

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or related fields

• Strong proficiency in Python for machine learning and data engineering

• Hands-on experience with time-series ML models

• Experience using PyTorch, TensorFlow, scikit-learn, or similar frameworks

• Solid foundation in statistics, signal processing, and anomaly detection

• Experience building IoT data pipelines (streaming and batch)

• Familiarity with cloud platforms and containerization (Docker, Kubernetes)

• Understanding of industrial or physical systems (water, utilities, energy, or manufacturing preferred)

• Experience working with sensor data (flow, pressure, vibration, acoustic, environmental)

• Exposure to SCADA, OT systems, or industrial communication protocols is an advantage

HOW TO APPLY:

Interested applicants, please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Stafflink Services Pte Ltd

EA Licence No.: 04C4294

EA Personnel: Chua Xue Min (Joesefyn)

EA Personnel Reg. No.: R23113090