Product AI & Analytics Engineer — Engineering Tools

Advanced Micro Devices (S) Pte Ltd

Singapore

On-site

SGD 90,000 - 130,000

Full time

7 days ago
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Job summary

AMD Singapore is seeking a highly motivated engineer to develop software, data, automation, and AI-driven solutions that improve Product Engineering productivity and decision-making. You will build tools, analytics, dashboards, and intelligent applications that help engineering teams work more efficiently and gain insights from complex manufacturing and engineering data.

You are a hands-on problem solver with strong software and data skills, a passion for automation and AI, and the ability to

Qualifications

  • Bachelor’s or Master’s in electrical engineering, computer engineering, or comparable disciplines

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, natural-language processing, anomaly detection, or LLM-based approaches where appropriate.

Skills

Python
SQL
AI
REST APIs
React
DevOps

Education

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

Tools

Tableau
Power BI
Docker
Kubernetes

Job description

AMD Singapore is seeking a highly motivated engineer to develop software, data, automation, and AI-driven solutions that improve Product Engineering productivity and decision-making. You will build tools, analytics, dashboards, and intelligent applications that help engineering teams work more efficiently and gain insights from complex manufacturing and engineering data.

You are a hands-on problem solver with strong software and data skills, a passion for automation and AI, and the ability to

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