READY FOR AN AWESOME INTERNSHIP?
One of the major challenges we face in our Computer Vision projects is getting enough training data and test data to validate the models. As an intern, you will assist us in exploring the potential of Generative adversarial network (GAN) and Diffusion models to generate realistic synthetic data. Interested? Send us your application!
WHAT TO EXPECT?
Pytorch, Python, Azure ML, Pycharm / VSCode, Git
During your internship, you’ll have the opportunity to explore the potential of Generative Adversarial Networks (GAN) and Diffusion models in generating realistic synthetic data. The primary focus is to compare the effectiveness of pretraining vs. fine-tuning vs. mixing with real data to determine the most efficient model. These models will be tested in real client scenarios so that we can improve their performance and deliver direct benefits. During your internship, you’ll be able to work with various data types, such as:
- Pharmacy videos
- Drone videos
- Parking lot videos
- Farmer videos
GOOD TO KNOW
YOU WILL LOVE THIS
You learn how to create smart solutions using the state-of-art-technology
You get to play Nintendo Switch or ping pong during your lunch break
Awesome colleagues! You will learn from the best colleagues in your field
Be prepared to work in a modern, inspiring office
You will get an internship reimbursement
ARE YOU THE ONE?
WHO ARE WE LOOKING FOR?
You are following a master in Data Science or related field
You are result-oriented and a problem solver
You are passionate about artificial intelligence and follow the latest news about the field
You are a real team player
You are willing to continually update your expertise and share your knowledge with your colleagues
You have good communication skills as you will join a team of more than 15 data scientists
You have a working permit within the EU
You are fluent in English. Knowledge of Dutch or German is considered a plus
UP FOR A CHALLENGE?
FEEL FREE TO CONTACT ME
Whether you like to discuss your idea or need help finding your solution.