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16 часов назад

Internship Data & AI Engineering

700
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Netherlands/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Internship Data & AI Engineering (AI/Data Engineering): Developing the Repo Scanner (Repo Radar) platform to analyze repositories and generate insights on technology usage, code quality, dependencies, and GenAI adoption with an accent on rule-based and agentic scanning, data pipelines, and cloud integrations. Focus on building LLM-based repository analysis, structuring scan outputs into a scalable code catalog, and creating dashboards for engineering insights.

Location: Hybrid in CDR (Amsterdam - Cedar), Netherlands. During the internship, enrollment at a Dutch university is mandatory, or at an EU university for EU passport holders.

Internship allowance: €700 based on a 36-hour work week.

Company

hirify.global supports banking and engineering initiatives through analytics, platforms, and technology solutions.

What you will do

  • Support development of the Repo Scanner (Repo Radar) platform for repository analysis and engineering insights.
  • Build rule-based and intelligent, agentic scanning logic using LLM-based approaches.
  • Integrate scanning workflows with Azure DevOps Pipelines, GitHub Agents, and Google Cloud Platform.
  • Develop data pipelines and staging logic for a scalable code catalog and data storage layer.
  • Create dashboards and visualization layers using Python-based frameworks and/or Looker.
  • Research and implement checks for code quality, test coverage, dependencies, security, and GenAI usage.

Requirements

  • Currently pursuing a degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
  • Knowledge of Python; experience with Java, Scala, or JavaScript is a plus.
  • Familiarity with Git, GitHub, or Azure DevOps repositories.
  • Interest in clean code, code quality, testing principles, AI/LLM systems, and agentic approaches.
  • Strong analytical, problem-solving, communication, and attention-to-detail skills.
  • Must be enrolled at a Dutch university, or at an EU university if holding an EU passport, for the duration of the internship.

Culture & Benefits

  • Hybrid working combines home working for focus with office working for collaboration and co-creation.
  • Personal growth and challenging work with experienced specialists.
  • Informal environment with innovative colleagues.
  • Work laptop provided.
  • Opportunity to learn about banking, analytics, and modern engineering practices.

Hiring process

  • Submit a CV and motivation letter through the application process.

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