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A leading company in biometric solutions is hiring a Data Scientist specialized in deep learning and computer vision in Ludwigshafen am Rhein. You will design and implement state-of-the-art models for face authentication, work with diverse teams, and engage in innovative tech development. This role requires strong expertise in Python, deep learning frameworks like TensorFlow and Keras, along with a solid background in machine learning. A supportive work environment and a culture that emphasizes professional growth await you.
We at trinamiX have developed a novel 3D imaging system to improve the security of biometric face authentication, even behind OLED displays. We use deep convolutional neural networks to distinguish human faces from spoof attacks. Our customers are major players in the smartphone, automotive and other industries.
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ABOUT US
We are stepping up to change the world!
trinamiX is a high-tech company developing innovative solutions in the fields of biometric authentication and mobile NIR spectroscopy. Through them, we are completely redefining the boundaries of what is possible for industrial customers and consumers alike - whether it is the security of personal data, the ability to conserve natural resources, or the shaping of one's own health.
To do this, we harness the hidden world of data around us and work closely with strong partners from a variety of international markets, including the smartphone and automotive industries.
Headquartered in Ludwigshafen am Rhein, trinamiX GmbH was founded in 2015 as a wholly owned subsidiary of BASF SE. While we live the spirit of a high-tech startup, we are supported by one of the world's leading chemical companies. As a result, more than 200 employees worldwide work operationally independently while being able to rely on the security, expertise and experience of the BASF Group.
We are looking for highly motivated, enthusiastic people to join our team and change the world together with us!
How to apply : create your own profile via ''Apply Now'' and upload only your CV as well as references. This allows us to get a first impression and view your application individually. Further information about our application process can be found here :
Diversity is our greatest strength!
Become a part of our winning formula for success and develop the future with us - in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.