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Remote Keras Jobs

Browse vetted remote Keras positions — deep learning model development, neural network engineering, and production ML system roles at AI companies.

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Remote worldwide
All job types
Deep Learning Engineer Keras Developer ML Engineer Neural Network Engineer Computer Vision Engineer

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Jobs & Projects

Neo4J

Posted 1 day ago

Consulting Engineer

Full-time
English
Open job
insitro
senior
Full-time
English
Open job
N

Posted 1 week ago

Junior AI Listing Photo Quality Classifier Developer

United States — Phoenix (UTC-7)

job
Full-time
English
$60k – $80k / year
Open job
B

Posted 1 month ago

AI Edge Firmware Rollout Validator

United States — Denver (UTC-6)

job
Full-time
English
$80k – $100k / year
Open job
L

Posted 2 months ago

Junior Machine Learning Engineer

United States — Los Angeles (UTC-7)

job
Full-time
English
Under $60k / year
Open job
J

Posted 2 months ago

AI Speaking Fluency Progress Tracker

Portugal — Lisbon (UTC+1)

job
Full-time
English
$100k – $130k / year
Open job
O

Posted 5 months ago

Computer Vision Engineer

Netherlands — Amsterdam (UTC+2)

mid-level
full-time
English
$100,000 – $125,000
Open job
D

Posted 5 months ago

Computer Vision Engineer — Structural Inspection

United States — New York (UTC-4)

mid-level
full-time
English
$95,000 – $118,000
Open job
H

Posted 5 months ago

Computer Vision Engineer

United States — Chicago (UTC-5)

mid-level
full-time
English
$100,000 – $125,000
Open job
I

Posted 5 months ago

Computer Vision Engineer

United States — Chicago (UTC-5)

mid-level
full-time
English
$110,000 – $145,000
Open job

Role guide

What to expect in remote Keras jobs

Keras is the high-level deep learning API that makes neural network development accessible while remaining production-capable. Remote Keras jobs involve building and training neural network models for classification, regression, NLP, and computer vision. Keras 3 now supports PyTorch, TensorFlow, and JAX backends, making Keras skills broadly transferable.

What you'll work on

  • Build and train deep learning models using the Keras functional or subclassing API
  • Fine-tune pre-trained models from Keras Applications or Hugging Face
  • Design production-ready neural network architectures for classification or regression
  • Develop Keras-based training pipelines with callbacks, checkpointing, and early stopping

What companies look for

  • Keras functional API and model subclassing for complex architectures
  • Training pipeline design — callbacks, learning rate schedules, mixed precision
  • Integration with TensorFlow TFX or PyTorch Lightning for production deployment

Frequently asked questions

Is Keras still relevant for remote deep learning jobs?

Yes. Keras 3 now supports multiple backends (TensorFlow, PyTorch, JAX) and is actively maintained. Many companies prefer Keras for its simplicity and productivity, especially for applied ML teams.

Should I learn Keras or PyTorch for remote ML engineering jobs?

Both. PyTorch is dominant in research and LLM engineering. Keras is preferred in teams prioritising rapid model development and TensorFlow integration. Many engineers know both.

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