Industrial AI & Software Intern — Flexible, Hands-on Data

Siemens; Singapore; Presencial; SGD 20.000 - 27.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Flexible Work Environment

Competitive compensation & benefits

Values-driven culture

Continuous learning & development

Descripción de la vacante

Siemens is seeking an Industrial AI & Software Engineering Intern to explore how industrial systems, data, and software converge in Industry 4.0 environments. You will gain hands-on experience with backend development, data engineering, applied AI, data modelling and foundational industrial connectivity concepts using realistic industrial data and architectures.

You will work on backend services, data pipelines and AI experiments, learning to deploy solutions via batch jobs and APIs while

Formación

• Pursuing a degree in IT/CS/DS/AI or related field.
• Fundamental programming skills in Python/JavaScript.
• Interest in backend systems, data engineering and AI applications.

Responsabilidades

• Develop backend services and REST APIs to process industrial data.
• Build data pipelines for sensor, time-series and event data.
• Explore data science techniques and apply ML basics to real datasets.
• Support AI experimentation, including model training and evaluation.
• Learn data connectivity between equipment, edge systems and enterprise platforms.

Conocimientos

Backend development

Data engineering

Python

JavaScript

AI basics

Industrial tech interest

Learning mindset

Educación

Diploma/Bachelor/Master in IT/CE/EE/CS/DS/SE/AI

Descripción del empleo

Siemens is seeking an Industrial AI & Software Engineering Intern to explore how industrial systems, data, and software converge in Industry 4.0 environments. You will gain hands-on experience with backend development, data engineering, applied AI, data modelling and foundational industrial connectivity concepts using realistic industrial data and architectures.

You will work on backend services, data pipelines and AI experiments, learning to deploy solutions via batch jobs and APIs while