Internship - Artificial Intelligence, Automation, and Database

Infineon Technologies; Singapore; On-site; SGD 20,088 - 26,784; Full time

Job summary

Infineon Technologies Singapore offers an internship focused on AI-driven automation, data engineering, and analytics to boost engineering productivity. You will use Python, SQL, Tableau, and ML tools to automate workflows, visualize data, and build AI models across multiple platforms.

You will learn to collaborate with experts, improve coding practices, and develop tools and dashboards for internal teams, engaging with Asia Pacific and Europe in a dynamic tech environment.

Qualifications

• Bachelor's degree required in technical or analytics field.
• Hands-on Python or similar scripting language required; on-the-job coding >80%.
• Self-driven with minimum supervision and global collaboration.
• Prior internship or work experience in Python for data processing/AI is a plus.
• Experience with AI models or data mining is advantageous.
• Database knowledge including SQL, Oracle is helpful but not mandatory.
• Preferred internship period: Jan 27 – Jun 27.

Responsibilities

• Assist automation of engineering data using Python, shell scripts and tools (Jenkins, Gitlab, JAMA, JIRA).
• Contribute to AI-assisted tooling to speed up development.
• Develop/maintain interfaces and databases used by microcontroller teams (Python-based).
• Set up UNIX schedulers and cronjobs for automation tasks.
• Explore AI models and commercial AI tools to improve efficiency.
• Create and maintain data visualizations using Tableau.
• Interact with internal databases (SQL, Oracle, SAP) via Python APIs.
• Develop AI agents for proactive data notifications via email or chat.

Skills

Python programming

Data analysis

Machine learning basics

Shell scripting

Version control

Team collaboration

Education

Bachelor's Degree in Computer Science / Electrical/Electronics / Computer Engineering / IT / Business Analytics / Data Science

Tools

Gitlab

JAMA

Bitbucket

JIRA

Tableau

SQL

Oracle

SAP

KLUSA API

Unix/cron

Job description

As an Intern, you will support the development of AI-driven automation, data engineering, and analytics solutions to improve engineering productivity and operational efficiency. You will work with technologies such as Python, SQL, Tableau, machine learning, and AI tools to automate workflows, develop data visualizations, build AI models and agents, and manage data across multiple platforms. The role offers exposure to real-world engineering systems, cross‑functional collaboration, and the application of artificial intelligence, digitalization, and data analytics in a global technical environment.

Your Role

• Pathfind together with internal experts on automation of engineering data: explore with guidance from supervisor and technical experts enhancements of engineering data using shell scripts, python scripts and commercial tools such as schedulers (Jenkins), version control (Gitlab), requirements (JAMA) and anomaly tools (JIRA).
• Learn to enhance coding and development: banking on your own coding skills and enhance with AI-assisted tools such as Gitlab co-pilot to speed up code and tool development.
• Develop new and enhance / maintain existing tools: user interfaces, databases used by microcontroller development teams using automation such as python.
• Automation scheduling: Gain know-how to set up scheduler for automation in UNIX with C-shell scripts, load sharing file systems and cronjobs.
• AI models: build e.g. supervised machine learning models or utilize commercial AI models (where permissible) to increase business efficiency.
• Data visualization: create new and enhance / maintain interactive data visualizations with existing platforms (Tableau).
• Data structures, data sets and databases: set up new and maintain data structures and data sets for automation, including interfacing with commercial and internal databases such as SQL, Oracle, SAP, KLUSA API using python API.
• Automation for action: automate or develop AI agents for proactive notification of data and user management such as email triggers and instant messaging bots on Webex or Microsoft Teams.
• Mining and analysing crucial data: using scripts and/or AI search for data from internal sources such as heat maps, incident reports, change requests, regression reports and indicators.

Internship Learning Outcomes

• Obtain hands‑on experience applying technical knowledge/skills towards enhancing team efficiency and effectiveness through artificial intelligence, digitalization and data visualization.
• Learn new tools and methodologies in product and project productivity improvements.
• Apply data analysis and processing by automation using python scripts; interfacing to various proprietary and internal databases such as SQL.
• Gain overview of leading edge product development tools and databases, both commercial and internal such as Jenkins, JAMA, Bitbucket, JIRA, Change and Control Management.
• Experience learning while doing in a dynamic and diverse technical community; interacting with colleagues across Asia Pacific and Europe.
• Sharpen vital soft skills essential for future career proliferation after graduation in a safe environment.
• Demonstrate knowledge gained from coursework and application on commercial tools such as Tableau for data visualization after gathering raw data and undertaking data structuring.

Your Profile

Qualifications And Skills To Help You Succeed

• Educational background: Bachelors Degree in Computer Science or Electrical/Electronics/Computer Engineering or Information Technology / Business Analytics / Data Science.
• Mandatory sufficient proficiency in hands‑on python or at least similar scripting or programming language such as perl / Javascript / Tk/TCL: student will be involved in coding >80% on‑job and need to hand‑code from scratch without any AI‑assistance.
• Self‑driven to learn and strive: ready to learn and explore with minimum supervision and interact with colleagues globally.
• Prior relevant technical internship or work experience: completed internships or actual salaried working experience in python scripting for data processing and artificial intelligence will be added advantages.
• AI models or usage of AI models, data mining / machine learning: have skills to develop AI model or use commercial AI models.
• Database knowledge: basic data structures is a must. Proficiency in databases such as SQL, Django, Oracle will be helpful but not mandatory.
• Preferred internship period: Jan 27 – Jun 27.

This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant's experience and skills.