Industrial AI Solutions Engineer – Asset Intelligence

Yokogawa; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

Yokogawa is seeking a skilled professional to lead Machine Learning & Predictive Solutions within our Asset Management team in Singapore. The role focuses on developing and deploying ML models for industrial asset management and collaborating with customers to translate requirements into digital solutions.

You will work on reliability engineering, AOM/APM concepts and predictive maintenance while applying advanced analytics and AI techniques.

Qualifications

• Bachelor’s degree in engineering, CS, data science or related field.
• At least 5 years of experience in ML, data analytics, reliability, asset management or predictive maintenance.
• Strong knowledge of ML, statistics and predictive modelling; proficient in Python.
• Experience with industrial equipment or sensor/time-series data is advantageous.
• Exposure to Generative AI, LLMs, RAG is a plus.

Responsabilités

• Develop, evaluate and deploy ML models for industrial asset management.
• Apply regression, classification, time-series analysis and anomaly detection.
• Create predictive maintenance and health monitoring solutions.
• Analyze historical and real-time data to identify patterns and failures.
• Evaluate model performance and improve accuracy.
• Engage with customers to understand requirements and present results.

Connaissances

Machine learning

Data analytics

Problem solving

Python

Communication

Formation

Bachelor's degree

Outils

Python

Description du poste

Yokogawa is seeking a skilled professional to lead Machine Learning & Predictive Solutions within our Asset Management team in Singapore. The role focuses on developing and deploying ML models for industrial asset management and collaborating with customers to translate requirements into digital solutions.

You will work on reliability engineering, AOM/APM concepts and predictive maintenance while applying advanced analytics and AI techniques.