AI & Machine Learning Intern – Data Engineer in Troisdorf

AI & Machine Learning Intern – Data Engineer in Troisdorf

Troisdorf Vollzeit Vor Ort
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About the role

Are you passionate about AI/ML and have hands‑on experience in practical applications?
Join us in revolutionizing the energy industry! We're forming a special task force to identify
efficiency needs from various perspectives and develop cutting‑edge solutions using AI and
data management. Be a part of Project NOVA (Next‑gen Optimization with Visionary AI) and
work directly with our CEO and senior leadership team, enjoying full freedom to innovate.

Responsibilities

  • Collaborate with cross‑functional teams to identify AI/ML opportunities.
  • Design, build, and deploy machine learning models.
  • Analyze large datasets to extract insights.
  • Document development processes and model results.
  • Present findings to stakeholders using visualizations and reports.
  • Stay updated with AI/ML advancements.
  • Clean, structure, and engineer data for customs and BI projects.
  • Develop and maintain data pipelines and workflows on Azure.
  • Support data cleansing for multiple teams.

Skills and Attributes for Success

  • Pursuing or recently completed a degree in Industrial Data Science, Engineering, Computer Science, AI, ML, or related field.
  • Strong understanding of machine learning algorithms.
  • Proficiency in Python, R, or Java.
  • Experience with AI/ML libraries (e.g., Pinecone, TensorFlow, PyTorch, scikit‑learn).
  • Analytical and problem‑solving skills.
  • Communication and presentation skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Experience with vector databases (e.g., Pinecone)
  • Proficiency in Python and SQL.
  • Experience with Azure Data Services (e.g., Azure Data Factory, Azure SQL Database).
  • Familiarity with BI tools and data transformation.

Requirements

Applicants must submit their Github profiles alongside resumes.

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AI & Machine Learning Intern – Data Engineer in Troisdorf Arbeitgeber: Max-Talent

Als Arbeitgeber bieten wir dir die Möglichkeit, in einem dynamischen Umfeld zu arbeiten, das digitale Prozesse aktiv gestaltet. Unsere offene und unterstützende Unternehmenskultur fördert deine persönliche und fachliche Entwicklung durch strukturierte Einarbeitung, regelmäßige Schulungen und flexible Arbeitszeiten. Zudem profitierst du von attraktiven Gesundheitsangeboten und der Option auf mobiles Arbeiten, was dir eine ausgewogene Work-Life-Balance ermöglicht.

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Kontaktdaten:

Max-Talent Recruiting-Team