We have limited training data. Is deep learning still viable?

Often yes, through transfer learning — but sometimes the honest answer is that a simpler model will do better on your data. We will tell you which case you are in before you commit to a training budget.

Both are fine choices and our engineers work in both. If you have an existing TensorFlow stack, staying in Keras usually costs less than migrating. We would not recommend a rewrite for framework preference alone.

Can you deploy the model, not just build it?

Yes. Deployment is included in most of our ML engagements — a model that cannot be served reliably has not delivered anything yet.

Hire Keras Developers

Deep learning engineers who take a model past the notebook and into something you can actually serve.

Get Matched with a Developer

The hard part of a deep learning project is rarely the model architecture — it is the data pipeline feeding it, the evaluation that tells you whether it is genuinely working, and the serving setup that keeps latency acceptable. Our Keras engineers spend most of their time on those, because that is where projects succeed or quietly fail.

What clients hire our Keras engineers for

Training and tuning models

Image classification, sequence models, and tabular deep learning — with honest evaluation on held-out data rather than a flattering training curve.

Transfer learning on small datasets

Getting usable accuracy from hundreds of examples rather than millions, by fine-tuning pretrained models instead of training from scratch.

Deployment and serving

Exporting to TensorFlow Serving, TFLite, or ONNX, and building the inference API around it with latency and cost in mind.

Keras skills we staff for

Keras / TensorFlow model development

Transfer learning & fine-tuning

Data augmentation & input pipelines (tf.data)

Model evaluation & error analysis

TFLite, ONNX & TensorFlow Serving

GPU training and cost management

When it’s worth bringing in Keras expertise

Hire a Keras engineer when you have a model that works in a notebook but not in production, when accuracy has plateaued and you need error analysis rather than more epochs, or when you need an honest read on whether deep learning is the right tool at all.

Flexible Hiring Models

Hourly

Pay only for the hours you need. Ideal for short tasks, fixes, and overflow work.

Dedicated (Monthly)

A full-time developer working only on your product, integrated into your team and tools.

Dedicated Team

A full squad — developers, QA, and a project manager — to own your roadmap end to end.

Need a whole team instead of one engineer? IT staff augmentation or browse every role we staff.

Hiring Keras developers — FAQs

Let's Collaborate

Reach out to us to discuss how we can work together to achieve your business goals with our innovative IT solutions.

Waleed Siddiqui

Cheif Executive Officer

sales@dablewdevs.com

+92 3334241643