AI Solutions Engineer for Asset Management

Yokogawa Electric Corporation; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Yokogawa Electric Corporation in Singapore seeks an AI Solution Engineer to develop, evaluate and deploy machine learning and predictive models for industrial asset management. You will work on regression, classification, time-series analysis, anomaly detection and related modelling approaches to support predictive maintenance and equipment health monitoring.

The role involves engaging with customers, translating requirements into ML and digital solutions, conducting workshops and PoC

Qualifications

• Bachelor’s degree in engineering, CS, DS or related technical field.
• At least 5 years of experience in ML, data analytics, reliability engineering, asset management or industrial digital solutions.
• Proficiency in Python and relevant ML tools.
• Experience with industrial equipment or sensor/time-series data is advantageous.
• Knowledge of reliability methodologies (RCM, FMEA, RCA/RCFA, MTBF, MTTR) and AOM/APM is advantageous.
• Exposure to Generative AI, LLMs, RAG or emerging AI technologies is a plus.
• Strong analytical, problem-solving, and customer engagement skills.

Responsibilities

• Engage with customers to understand asset management challenges.
• Translate requirements into ML and digital solution approaches.
• Conduct technical discussions, workshops and solution demonstrations.
• Support PoC activities, solution scoping, and project delivery.
• Present analytical findings and recommendations to stakeholders.

Skills

Python

Machine Learning

Data Analytics

Reliability Engineering

Predictive Maintenance

Industrial IoT

Generative AI

LLMs & RAG

Problem Solving

Communication

Education

Bachelor’s degree in engineering

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Job description

Yokogawa Electric Corporation in Singapore seeks an AI Solution Engineer to develop, evaluate and deploy machine learning and predictive models for industrial asset management. You will work on regression, classification, time-series analysis, anomaly detection and related modelling approaches to support predictive maintenance and equipment health monitoring.

The role involves engaging with customers, translating requirements into ML and digital solutions, conducting workshops and PoC