Machine Learning Intern

Vor 7 Tagen

Basel, Schweiz Axom Vollzeit

**About Axom**

At **Axom**, we develop cutting-edge **visual inspection solutions** that enhance efficiency and accuracy in the **pharmaceutical and animal health industries**. Our technology ensures that patients receive the right products with zero defects by leveraging **machine learning, computer vision and robotic systems**.

**What You’ll Do**

As a **Machine Learning Intern**, you will actively contribute to our AI-driven automation processes. Your daily tasks will include:

- ** Creating datasets**: Organizing photoshoots, labeling images, and performing image augmentations.
- ** Training machine learning models**: Launching training runs, configuring models, and familiarizing yourself with our existing AI pipeline.
- ** Optimizing processes**: Identifying improvements in **data collection, model training, and performance analysis**.
- ** Supporting model deployment**: Assisting in integrating trained models into real-world automation systems.

**What We’re Looking For**

We value **autonomy, proactiveness, and a problem-solving mindset**. You’ll take ownership of your projects, contribute fresh ideas, and explore innovative solutions. Our team thrives on creativity, initiative, and experimentation—so don’t hesitate to test new approaches

**Skills & Experience That Matter**
- (Not all are required, but the more, the better)_
- Experience with **machine learning frameworks** (TensorFlow, PyTorch).
- Familiarity with **computer vision** techniques (image classification, object detection, segmentation).
- Comfortable working with **datasets** (data augmentation, annotation, preprocessing).
- Knowledge of **Python** (bonus points for experience with OpenCV, NumPy, Pandas).
- Understanding of **neural network architectures** (CNNs, transformers, GANs).
- Basic familiarity with **Linux** and **command-line tools** for AI development.
- Experience with **robotics or automation** is a plus but not required.

**Why Join Us?**
- Be part of a **cutting-edge team** developing next-gen visual inspection solutions.
- Gain **hands-on experience** in deep learning, robotics, and automation.

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