AI & Low-Code Automation Intern (Hybrid, Warsaw)

Bosch Group; Województwo mazowieckie; Hybrid; PLN 17.000 - 25.000; Teilzeit

Benefits dieser Stelle

Paid internship

Hybrid work mode

Office in Warsaw

Lunchcard (Prepaid)

MultiSport Card

Zusammenfassung

Bosch Group invites a motivated Intern to join the Hyperautomation team in Warsaw. You will gain hands-on experience in understanding and optimizing internal processes while contributing to frameworks for customer communication.

As part of a dynamic team, you will collaborate with stakeholders to ensure seamless automation processes, document findings, and contribute to innovation discussions while learning about GenAI and agent-based automation.

Qualifikationen

• Currently pursuing a degree in Computer Science, IT, or a related field (2nd or 3rd year).
• Commitment: minimum 30h per week for the internship.
• Interest in low-code platforms and automation with hands-on learning mindset.
• Familiarity with GenAI and modern AI agents encouraged.
• Basic knowledge of version control and cloud platforms is a plus.

Aufgaben

• Assist in building and testing automation solutions using low-code platforms (n8n, Power Automate, ServiceNow, KNIME).
• Support PoCs for AI/agent-based automation under senior guidance.
• Explore GenAI and automation technologies and prepare short notes or demos.
• Document processes from workshops and translate into automation requirements.
• Prepare user docs and conduct training for non-technical users.

Kenntnisse

Communication skills

Teamwork

Presentation skills

Analytical thinking

GenAI curiosity

Ausbildung

2-3rd year student of Computer Science/IT

Tools

Git/GitHub

Cloud basics (Azure/AWS/GCP)

Jobbeschreibung

Bosch Group invites a motivated Intern to join the Hyperautomation team in Warsaw. You will gain hands-on experience in understanding and optimizing internal processes while contributing to frameworks for customer communication.

As part of a dynamic team, you will collaborate with stakeholders to ensure seamless automation processes, document findings, and contribute to innovation discussions while learning about GenAI and agent-based automation.