Internship - Ai Engineer - Comparative Study of - Clamart, France - Schlumberger

Schlumberger
Schlumberger
Entreprise vérifiée
Clamart, France

il y a 1 mois

Sophie Dupont

Posté par:

Sophie Dupont

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Description

Job title:

Internship - AI Engineer - Comparative Study of Balancing Techniques for Image Classification with Imbalanced Datasets (6 months)


About Us:

We are a global technology company, driving energy innovation for a balanced planet.

At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act
- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer.

Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.


Our Purpose
Together, we create amazing technology that unlocks access to energy for the benefit of all.


Location:
Clamart, France

Come and Join SLB's AI Lab in Paris. We are currently offering internship to bright minds specialized in Data Science and Artificial Intelligence. Discover a multinational company. We have brought a little bit of the Silicon Valley in Paris.

Experience working within a team of young and fun passionate Data Scientists, tackling real business challenges, in tandem with business experts who are sitting at your desk.


Description:


Imbalanced datasets with long-tailed distributions are widely spread in real-world scenarios including datasets acquired with remote sensing technologies in various geological settings.

When used in classification tasks they cause a bias in a decision boundary for machine learning and deep learning-based solutions, resulting in a smaller feature space for rare classes.

In this internship project, we aim to conduct a comparative study of balancing techniques to address this challenge.


Required

skills:


General:
applied mathematics, probability & statistics, image processing, image classification and segmentation, deep learning models like CNNs, Siamese Networks, Autoencoders


Programming:
Python, PyTorch or Keras/Tensorflow

SLB is an equal employment opportunity employer.

Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

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