Black Semiconductor
Skills: Python, SQL
Your Role
As a Working Student in our Data & AI department, you will support the team across a range of projects and help bring Black Semiconductor(https://himalayas.app/companies/blacksemi)’s AI-first vision to life.
Working closely with a dedicated mentor, you will gain hands-on experience in data engineering, data science, and AI technologies. You will support the development and testing of data and machine-learning platforms, contribute to ontologies and knowledge graphs, and assist with agentic platforms and AI tools.
What You’ll Do
Support the setup, configuration and testing of data and machine-learning platforms
Help create, structure and maintain ontologies and knowledge graphs
Assist with configuring agentic platforms, LLM tools and other AI technologies
Perform data preparation, analysis and data-pipeline tasks under guidance
Support research and other administrative activities related to Data & AI projects
Prepare clear documentation so that your work and findings can be understood and reused by others
Record meeting notes and help keep project information structured and up to date
Participate in stand-ups and team meetings, sharing your progress, questions and blockers openly
Collaborate with your mentor and other team members while developing your technical skills
What You Bring
Current enrolment in a bachelor’s or master’s programme in computer science, data science, physics, electrical engineering, mathematics, business informatics or another quantitative field
An interest in artificial intelligence, data technologies, deep tech or the semiconductor industry
Curiosity, reliability and a strong willingness to learn
A structured approach to your work and the confidence to ask questions when something is unclear
Good communication and teamwork skills
Good English skills; German is an advantage
Some programming experience with Python or SQL is an advantage
Familiarity with Jupyter, Git or GitLab is an advantage
Experience with Microsoft 365, Teams, Miro or PowerPoint Familiar…
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