Data Scientist

🔵 Capitole is still growing and we want to do it with you! 🚀

We are seeking an experienced Deep Learning Engineer to support our semiconductor analysis efforts and reduce the number of mistakenly rejected semiconductors. This role will enable you to work with cutting-edge technology and contribute to the development of solutions that improve the accuracy of semiconductor classification. As part of a dynamic team, you will have the opportunity to strengthen your expertise in deep learning while directly impacting the business.

🤖 Responsabilities and Requirements:

• Work on strengthening the company's expertise in deep learning to improve the semiconductor classification process, reducing the number of mistakenly rejected units.
• Partner with local teams and AI specialists based in Israel to implement and refine deep learning techniques.
• Analyze data and continually optimize models to ensure high-quality results in classifying semiconductors as defective or suitable for sale.
• Attend on-site meetings and contribute to project needs as required, with an expected on-site presence of two days per week (potentially more based on project demands).
• Contribute to programming efforts, primarily in Python, to support deep learning models and system implementations.

🛠️ Technical Requirements:

• Strong skills in Python for developing deep learning models and data manipulation.
• Experience with additional programming languages or tools is a plus.
• Previous work in the semiconductor industry or deep learning projects is an advantage.
• Fluency in English is mandatory. Knowledge of one of the national languages (Dutch or French) is a plus but not required.
• A minimum of 5 years of experience in deep learning or a related field

Additional informations:

• The candidate must reside in Belgium due to internal company policies

🎉 Why Capitole?

🤝 Our employees come first. We believe in a different, more human model, placing people at the center of our company.

• 📜 Permanent contract or Freelancing
• 🚗 Company car
• 🏥 Health Insurance with DKV
• 🍽️ Meal voucher
• 🏠💼 Hybrid working

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