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AI Research Intern

Bosch Group · Singapore

Internship 🇬🇧 English
Python C++ TensorFlow time-series modelling sequential deep learning

Job description

About the role

We are looking for a motivated and enthusiastic individual to join Bosch for a fulfilling internship opportunity! This internship will provide valuable hands‑on experience in a corporate environment, allowing you to contribute to ongoing projects while learning from experienced professionals.

Key responsibilities

  • Investigate state‑of‑the‑art methods in statistical analysis, machine learning, deep learning and/or other AI methods for anomaly detection.
  • Develop deep learning models on time‑series data.
  • Conduct regular technical discussions to deep dive into problem statements.
  • Support data collection and preprocessing.
  • Propose concepts using suitable methodologies to solve pain points and develop proof‑of‑concepts.
  • Provide project updates, presentations and support demonstrations for stakeholders.

Required profile

  • Available to work full time for 6 months starting July/August 2026.
  • Undergraduate or graduate studies in Computer Science, Artificial Intelligence or Engineering.
  • Strong analytical and problem‑solving skills, highly motivated and able to work independently and collaboratively.
  • Effective communication and presentation skills.

Required skills

  • Proficiency in Python and C++.
  • Experience with AI/ML frameworks such as TensorFlow.
  • Strong proficiency in time‑series modelling and/or sequential deep learning.

What we offer

  • Real‑world experience applying classroom knowledge to practical projects.
  • Skill development in technical and soft areas while working in an active team.
  • Opportunities to network and learn from industry professionals.
  • Inclusive culture built on respect, collaboration and empowerment.

Questions fréquentes

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Le contrat proposé est un Internship basé à Singapore.
Source : ats:smartrecruiters

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Published 1 week ago

Expires 1 month from now

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Bosch Group

Singapore