Keras Jobs in Computer Vision
Browse CV roles that require Keras across all industries and experience levels.
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What is Keras?
Keras is a high-level neural network API prioritising clarity and rapid iteration, now able to run on TensorFlow, PyTorch or JAX backends. In computer vision it is common in prototyping, teaching, and applied settings where models are standard and development speed matters more than low-level control.
Where Keras is used
Frequently seen in applied and scientific teams where the model is a fairly standard classifier or segmenter and the hard problems lie in the data rather than the architecture.
Roles that ask for Keras
- Machine Learning Engineer
- Data Scientist, Vision
- Computer Vision Engineer
- Research Scientist
- Applied Scientist
Related skills & tools
Keras jobs — common questions
Is Keras taken seriously in production?
Yes, in the right settings. It is a thin, well-designed layer over a serious backend, and for standard architectures there is no performance penalty. Teams move away from it when they need custom training loops or unusual operations.
Does Keras still tie me to TensorFlow?
No. Keras 3 supports TensorFlow, PyTorch and JAX backends, so the same model code can run on any of them — which has made it more attractive as a portable high-level API.
Should I list Keras separately from TensorFlow on a CV?
Only if it reflects real depth. Most employers treat it as implied by TensorFlow experience. Where it does help is applied and scientific roles that value fast iteration over framework internals.