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Deep Learning Infrastructure Engineer

Crisalix is dedicated to bringing realistic and precise 3D modeling to medical consultations. Our core team is currently seeking developers with strong infrastructure background for the role of Deep Learning Infrastructure Engineer.

Would you like to join the world"s leading tech company in the field of 3D aesthetic simulation? Do you enjoy working with deep learning models? Then this might be your opportunity!

We are looking for a talented Deep Learning Infrastructure Engineer to join our team with diverse expertise and experience in a creative and international environment. The focus of this role is on scaling the training and evaluation of deep learning models as well as data processing pipelines.

Minimum requirements

As DL Infrastructure Engineer, while working in an agile team, you will take responsibilities from day one. Some of the things you would be doing are:

Designing a scalable infrastructure for training large deep learning models across multiple instances.
Scaling and automatizing data processing pipelines.
Implementing and maintaining infrastructure for deep learning.
Collaborating with research and development teams to design experiments, assessing the infrastructure part.


Our ideal candidate would have:

A degree in Software Engineering or equivalent.
Strong programming skills in c++/python/bash.
Worked previously with docker containers
Experience with distributed training using keras, tensorflow, pytorch and/or data processing expertise.
We value very positively some experience working with Kubernetes.


We would love to get to know you! If you would like to know us too, please apply in English or send an e-mail to sonila.biba@crisalix.com

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

Want to learn more? Find us on https://www.crisalix.com

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