Product Engineer (Advance Data Analytics)

EIRE SYSTEMS SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EIRE SYSTEMS SINGAPORE PTE. LTD. is seeking a data analytics and AI/ML specialist to drive yield improvement and reliability across cross-functional teams in Singapore.

You will develop and apply ML/DL models, analyze engineering data, and contribute to the Dispo workflow to enhance quality and efficiency. The role requires strong programming skills (Python, R, SQL), experience with JMP/Tableau/Power BI, and familiarity with cloud-based data infrastructure.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Artificial Intelligence, or related fields.
• Strong data analytics skills with JMP, Tableau, and Power BI.
• Proficiency in Python, R, SQL, and web technologies for data manipulation.
• Proficient in TensorFlow, Scikit-learn, and PyTorch.
• Excellent communication to present findings to non-technical stakeholders.
• Strong sense of responsibility and professional work ethic.

Responsibilities

• Lead initiatives to enhance yield and quality in cross-functional teams.
• Use statistical tools, ML/AI for data analysis to improve yields and reliability.
• Develop ML/DL models for data mining and pattern recognition for quality and yield improvements.
• Collaborate with IT and Manufacturing to build data infrastructure using cloud tech.
• Work with Fab, HBM Tech Development, HBM Design, System Development, Quality/Reliability to ship end products.
• Promote innovation and maintain competitive edge.
• AI/ML advocate: develop, deploy, and validate models to improve KPIs (Quality, Cost, Cycle Time, Scale).

Skills

Data analytics

Statistical analysis

Machine learning fundamentals

Communication with stakeholders

Education

Bachelor's or Master's degree in Engineering, Computer Science, Statistics, AI, or related fields

Tools

JMP

Tableau

Power BI

Python

R

SQL

TensorFlow

Scikit-learn

PyTorch

Job description

Key Responsibilities

• Cumulative Yield Ownership: Be a key member of cross-functional teams, to lead impactful initiatives that significantly enhance overall yield and quality improvement, driving substantial benefits for the organization.


• Data Analysis for Yield Improvement and Reliability: Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow.


• Models/Algorithm Development: Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.


• Data Infrastructure Development: Collaborate with IT, Manufacturing, and Operations teams to develop and enhance the data infrastructure pipeline using cloud technologies to support reliability and engineering assessments.


• Cross-Functional Collaboration: Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products.


• Promotion of Innovation: Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market.


• AI/ML Advocate: Collaborate with cross-functional teams to develop, deploy, and validate AI/ML models aimed at enhancing key performance indicators (KPIs) such as Quality, Cost, Cycle Time, and Scale.

Requirements

• Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Artificial Intelligence, or related fields.


• Demonstrate strong technical skills with a deep understanding of data analytics, and analysis tools such as JMP, Tableau, and Power BI.


• Proficiency in programming languages such as Python, R, SQL, and web application languages like JavaScript, HTML, and CSS for data manipulation and analysis.


• Proficient in statistical analysis, predictive modeling, and machine learning techniques, including libraries such as TensorFlow, Scikit-learn, and PyTorch.


• Excellent communication skills to present findings and insights to non-technical stakeholders.


• Strong sense of responsibility and accountability towards assigned role with professional work ethic.

Required to work onsite in Singapore withinternational travel to Taiwan.