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Aumovio

Software-defined vehicles hardware and software solutions

AIOps Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipSingaporeNo salary listedIn-person

About the Job

Requirements

  • Currently pursuing an undergraduate or master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Have a strong interest in DataOps, MLOps, and cloud technologies.
  • Have strong programming skills in Python.
  • Have some experience with the machine learning development lifecycle, including data preparation, model training, evaluation, deployment, and monitoring.
  • Have some experience with version control software such as GitHub.
  • Be able to work independently and collaboratively in a dynamic team environment.
  • Have excellent written and verbal communication skills.

Responsibilities

  • Develop DataOps solutions, including designing database schemas, building data pipelines, and implementing data quality checks and data monitoring.
  • Support MLOps processes such as model tracking, versioning, and deployment.
  • Contribute to CI/CD workflows using GitHub Actions, Jenkins, or similar tools.
  • Explore new features in AI and data platforms and document findings to support the team.

Desired Qualifications

  • Prior experience with cloud platforms such as AWS.
  • Prior experience in data engineering, such as Spark, SQL, or Databricks.

About the Company

Aumovio

Software-defined vehicles hardware and software solutions

Aumovio provides hardware and software for software-defined vehicles (SDVs) across Autonomous Mobility, Safety and Motion, User Experience, and Architecture and Network Solutions. Its products include sensor systems, displays, braking and comfort systems, software platforms, and driver-assistance systems, plus platforms like Green Electric Caliper, Xelve, and Road to Cloud for SDVs. Born from a 2025 spin-off of Continental’s Automotive group, it operates as an independent company based in Frankfurt and serves nearly all leading automakers worldwide. The company aims to grow long-term sales beyond €24 billion and achieve an adjusted EBIT margin of 6.0–8.0%, by expanding software-enabled mobility and cloud connectivity.

Company size
501-1,000
Company stage
IPO
Headquarters
Frankfurt, Germany
Founded
2025

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