ML Solution Engineer for Asset Reliability & PM

YOKOGAWA ENGINEERING ASIA PTE LTD; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Yokogawa Engineering Asia PTE LTD seeks a seasoned ML engineer to develop and deploy predictive maintenance and asset-management solutions for industrial assets. You will work with sensor and process data to build ML models and demonstrate results to customers.

This role emphasizes collaboration with the Centre of Excellence and customer engagement, applying reliability methods such as MTBF/RCA and exploring Generative AI to enhance asset performance.

Qualifications

• Bachelor's degree in CS/DS or related field.
• 5+ years in ML, data analytics or reliability engineering.
• Experience with Python and ML libraries.
• Familiarity with industrial datasets and time-series data.
• Knowledge of RCM, FMEA, RCA/RCFA is advantageous.
• Strong analytical and client-facing skills.

Responsibilities

• Develop ML models for industrial asset management.
• Evaluate models and improve accuracy.
• Analyse equipment and process data to detect patterns.
• Engage with customers to translate requirements.
• Present findings and propose ML-enabled solutions.
• Collaborate with CoE and regional teams.

Skills

Python

ML techniques

Time-series analysis

Predictive maintenance

Data analytics

Problem solving

Communication skills

Education

Bachelor's Degree in Computer Science / Data Science

Tools

Pandas

Scikit-learn

NumPy

Matplotlib

Job description

Yokogawa Engineering Asia PTE LTD seeks a seasoned ML engineer to develop and deploy predictive maintenance and asset-management solutions for industrial assets. You will work with sensor and process data to build ML models and demonstrate results to customers.

This role emphasizes collaboration with the Centre of Excellence and customer engagement, applying reliability methods such as MTBF/RCA and exploring Generative AI to enhance asset performance.