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Capgemini

Global consulting, technology services, outsourcing

Data Scientist Intern

Computer VisionUpdated on Nov 14
InternshipNo salary listed

About the Job

Requirements

  • A Master's degree in AI, image processing, data science, or applied mathematics is required.
  • The candidate must be seeking a final-year internship.
  • The candidate must be proficient in Python and have a strong foundation in machine learning and deep learning.
  • Knowledge of AI frameworks such as PyTorch, TensorFlow, or Keras is required.
  • The candidate must have at least B2-level spoken and written English and C1-level French.
  • Scientific rigor, teamwork, and initiative are expected.

Responsibilities

  • Join a research team within SogetiLabs and contribute to developing innovative AI solutions for practical problems across varied sectors.
  • Detect, segment, and classify objects using computer vision techniques and tools such as YOLO, Faster R-CNN, and RT-DETR.
  • Analyze and preprocess images from sources such as microwave, medical imaging, satellite, drone, or web data.
  • Extract image features, reduce noise, and correct artifacts.
  • Adapt models to individual or environmental variability.
  • Train, optimize, and compare computer vision and deep learning architectures.
  • Design decision-support modules or qualitative and quantitative imaging capabilities.
  • Set up complete machine-learning pipelines.
  • Integrate models into tools or web platforms.
  • Analyze scientific literature.
  • Test, validate, and critically analyze developed models.
  • Contribute to scientific publications and technical presentations.

Desired Qualifications

  • Experience with combinatorial optimization or high-performance computing (HPC) is appreciated.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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