AI-Driven Automation & Electrical Intern

Siemens Energy, Inc.; Singapore; On-site; SGD 8,900 - 18,000; Full time

Benefits offered by this job

The opportunity to engage in an energY

Strong professional support and cross‑

Professional development opportunities

Job summary

Siemens Energy Pte. Ltd. in Singapore seeks an Automation / Electrical Engineering Intern to support AI-driven workflows within the Asia Pacific Projects & Service team.

You will explore AI tools and automate engineering tasks to boost productivity. The role focuses on AI tool evaluation, workflow automation, and technical document analysis, collaborating with engineers to validate solutions and share findings.

Qualifications

• Bachelor's degree or diploma in Electrical Engineering, Automation & Control, or Computer Science.
• Exposure to programming languages (e.g., Python) or data analysis tools preferred.
• Basic understanding of electrical/automation engineering principles.
• Ability to read engineering drawings, datasheets and specifications.
• Basic scripting skills (Python/MATLAB) and analytical mindset.
• Collaborative, proactive learning in a multicultural team.

Responsibilities

• Explore and evaluate practical AI models and tools in engineering workflows.
• Support development, coding, or scripting of AI tools to boost productivity.
• Test and validate AI solutions with senior engineers.
• Analyze drawings, datasheets and specs using AI-assisted tools.
• Identify opportunities to automate repetitive tasks and validate improvements.

Skills

Python

MATLAB

Data analysis

Analytical thinking

Teamwork

Education

Bachelor's Degree or Diploma in Electrical Engineering, Automation & Control, Computer Science

Tools

Python

MATLAB

Job description

Siemens Energy Pte. Ltd. in Singapore seeks an Automation / Electrical Engineering Intern to support AI-driven workflows within the Asia Pacific Projects & Service team.

You will explore AI tools and automate engineering tasks to boost productivity. The role focuses on AI tool evaluation, workflow automation, and technical document analysis, collaborating with engineers to validate solutions and share findings.