Hire vetted senior Keras engineers
24h
first response
72h
from brief to shortlist
1 in 7
clears our vetting
75/100
the pass mark
Hire senior Keras engineers through Mahala. Vetted specialists in deep learning: computer vision, forecasting, and model training pipelines on Keras and TensorFlow, matched to your stack in 72 hours. Every profile scored against our vetting protocol before it reaches your shortlist.
What a wrong Keras hire costs
A wrong Keras hire builds a model that scores well in the notebook and fails in production because the validation was leaky, the data pipeline was different at inference time, or the model overfit a dataset that does not represent the real world. Deep learning that ships is about disciplined validation and reproducible training, not just stacking layers.
Anyone can train a Keras model that scores well on a held-out split. The question is whether it generalizes: rigorous validation without leakage, a training pipeline that is reproducible, data augmentation that reflects reality, and a deployment path where the inference-time preprocessing matches training exactly. That is what we vet Keras engineers on.
What our Keras engineers deliver
01
Deep learning models in Keras and TensorFlow: computer vision, sequence models, and forecasting.
02
Rigorous validation without leakage, and training pipelines that are reproducible run to run.
03
Transfer learning and data augmentation to get strong results from limited labelled data.
04
A deployment path where inference-time preprocessing matches training exactly, so the model performs in production as it did in evaluation.
How to recognise a
strong Keras engineer
- They validate without leakage and treat generalisation, not notebook accuracy, as the metric that matters.
- They get strong results from limited labelled data with transfer learning and realistic augmentation.
- They own the deployment path so inference-time preprocessing matches training exactly.
How an
engagement runs
- Brief us: role, stack, project phase, timeline, access model (VDI).
- We match from our two-layer vetted bench.
- Two or three blind CVs within 72 hours of a clear brief.
- Interview the finalists, choose the best fit.
- Mahala handles contracting, screening where required, and onboarding. One contract, one monthly invoice.
NDA on request. If your brief involves sensitive detail about the project, the team, or the IP, we offer a preliminary NDA as a service. Not required to receive a shortlist.
Representative
profile
Senior AI/ML Engineer, eight years in computer vision and applied deep learning. Built the visual quality-inspection models for a manufacturing group in Keras and TensorFlow: transfer learning from limited labelled data, augmentation matched to plant conditions, and a deployment path that held accuracy from lab to line. Cut defect escape rate by 30%. Strong on Keras, TensorFlow, OpenCV, Python, and model deployment. Available remotely across Europe and the GCC, contracted via Mahala.ai. Vetted at 88/100.
Related
questions
What kind of models do your Keras engineers build?
Computer vision (classification, detection, segmentation), sequence and time-series models, and forecasting. Built in Keras and TensorFlow, validated rigorously, and deployed so inference matches training.
How do you make sure a model generalizes and does not just overfit?
Validation without leakage, augmentation that reflects real conditions, and honest test sets. Our Keras engineers treat generalization as the metric that matters, not notebook accuracy. We assess this directly in vetting.
Can they work with limited labelled data?
Yes. Transfer learning from pretrained backbones and data augmentation get strong results from small labelled sets. This is a common constraint in enterprise and industrial projects.
Do they handle deployment, not just training?
Yes. The deployment path matters: inference-time preprocessing has to match training exactly or the model underperforms in production. Our engineers own that path.
Do they work in regulated environments such as VDI or Citrix?
Yes. Most of our enterprise placements operate in regulated remote environments. We confirm access requirements in the brief.
How is it priced?
Senior delivery is priced on a day or hourly rate, depending on the engagement model. We share rate ranges during the first call.