AI-Driven Product Analytics & Automation Engineer

AMD; Singapore; On-site; SGD 120,000 - 210,000; Full time

Job summary

AMD is seeking a hands-on engineer to build software, data, automation, and AI-driven solutions that boost Product Engineering productivity and decision-making. You will craft tools, analytics, dashboards, and intelligent apps to extract insights from manufacturing and engineering data.

You will work across teams to deploy scalable workflows, validate outputs, and drive continuous improvement through technology. Singapore-based role with a focus on modern data platforms.

Qualifications

• Bachelor’s or Master’s in electrical/computer engineering or comparable discipline.
• Hands-on data and automation problem-solving experience.
• Experience applying AI/ML, analytics, or NLP to engineering data.

Responsibilities

• Design and develop software tools, automation frameworks, and data-driven solutions to improve Product Engineering productivity and execution efficiency.
• Develop and maintain data pipelines, data models, analytics workflows, and data-quality checks that support engineering operations and decision-making.
• Analyze engineering and manufacturing data to identify trends, anomalies, risks, bottlenecks, yield opportunities, and improvement actions.
• Build dashboards, notebooks, reports, and visualizations for KPI tracking, engineering analytics, and management reporting.
• Develop intelligent applications using machine learning, generative AI, prompt engineering, NLP, anomaly detection, or LLM-based approaches where appropriate.
• Integrate applications with enterprise and engineering systems through REST APIs to improve data accessibility, traceability, task management, and knowledge sharing.

Skills

Python

Data processing

SQL

Machine learning

Generative AI

NLP

Data visualization

Education

Bachelor’s or Master’s in electrical/computer engineering

Tools

Jira

Confluence

Docker

Kubernetes

Snowflake

Power BI

Job description

AMD is seeking a hands-on engineer to build software, data, automation, and AI-driven solutions that boost Product Engineering productivity and decision-making. You will craft tools, analytics, dashboards, and intelligent apps to extract insights from manufacturing and engineering data.

You will work across teams to deploy scalable workflows, validate outputs, and drive continuous improvement through technology. Singapore-based role with a focus on modern data platforms.