Work with Keras specialists who move past basic model scripts, translating rapid experimentation into real business outcomes. From early validation to live TensorFlow deployment, your AI initiatives stay fast, flexible, and ready for production.
Market leaders choose Entrans Keras developers to shorten build times, streamline neural architectures, and run deep learning reliably at scale. Built for teams that expect rapid testing and steady production performance.
From data preprocessing and layer configuration to model serialization and cloud deployment, our experts take ownership of your entire Keras deep learning journey.
Hire Senior Keras engineers that craft complex non-linear topologies (Multi-input/Multi-output models) using the Keras Functional API to support sophisticated business logic and data flows.
Hire Keras engineers to bridge the gap between lab and market. We utilize TensorFlow Serving and TFLite to deploy optimized Keras models efficiently on cloud servers or mobile devices.
Get the right talent for your specific needs. Whether you need a Deep Learning Architect for strategy or a Python Engineer for model tuning, we provide flexible options.
Drive sustained performance through automated hyperparameter tuning (Keras Tuner), early stopping callbacks, and learning rate scheduling.
Hire Keras developers with hands-on skills in Python, TensorFlow, and Transfer Learning. Entrans provides top-tier professionals to build, configure, and scale your intelligent applications.
Our team accelerates innovation. Hire Keras developers to quickly build and iterate on neural networks using the Sequential API, allowing you to validate AI concepts in record time.
Hire Keras developers to build visual intelligence. We leverage pre-trained models (ResNet, MobileNet, VGG) via Transfer Learning to build high-accuracy image classifiers and object detectors with less data.
Our experts build text-aware systems. Hire Keras developers to implement LSTMs, GRUs, and Transformer layers for sentiment analysis, text classification, and chatbot engines.
We execute rigorous validation cycles. Hire Keras developers to utilize Keras evaluation metrics and TensorBoard visualization to monitor training history, overfitting, and convergence accuracy.
Entrans’ Keras developers manage lightweight deployments. We convert Keras models to TensorFlow Lite (TFLite) to run optimized AI directly on Android and iOS devices.
We extend platform capabilities. Hire Keras developers skilled in writing custom layers, loss functions, and training loops to solve unique problems beyond standard library features.
Technical Stack: Next.js (SSG), Strapi, Tailwind CSS, Vercel
A leading Fintech services company was limited by its slow, monolithic WordPress site, which hurt its SEO and content workflow. We migrated them to a headless architecture with Next.js for Static Site Generation and Strapi as the CMS.
The new platform had better functionality and a better UX for users uploading bills, statements, and receipts for reconciliation.
Technical Stack: Python, Flutter, Angular, LangChain, FastAPI
Enterprises needed a secure AI solution for human-like conversations grounded in their own proprietary data. We developed Thunai, our enterprise-grade agentic platform, to automate sales and support workflows.
Thunai delivers accurate, data-driven responses, handles complex agent tasks, and provides a unified support experience in over 150 languages.
Entrans provides specialized Keras development teams that ensure code modularity, training speed, and ease of maintenance. Our pre-vetted network offers deep expertise in Transfer Learning, Model subclassing, and Python data science stacks, delivered through adaptive engagement models that integrate seamlessly with your existing tech teams.
Identify high-impact AI use cases and data availability that need Keras Engineer roles.
Access pre-screened profiles with verified experience in Deep Learning and Python/Keras ecosystem.
Validate expertise in Hyperparameter Tuning, Overfitting mitigation, and API implementation through technical challenges.
Onboard experts who understand your data pipelines and cloud environment, preventing ramp-up delays.
Maintain continuity with structured upskilling on the latest Keras/TensorFlow updates and optimization techniques.
Ideal for long-term AI product development and iterative model improvement.
Scale your data science team with skilled Keras engineers as an extension of your workforce.
Hire for specific tasks, such as building a POC, hyperparameter tuning, or model conversion to TFLite.
Our team serves global clientele, specializing in Retail (Visual Search), Finance (Risk Scoring), and Healthcare. Our specialists architect intelligent solutions using their deep knowledge of the Keras high-level API.
A Keras developer is an AI specialist skilled in using the Keras deep learning API (running on top of TensorFlow). They build, train, and evaluate neural networks for tasks like image recognition and NLP using Python.
Keras is a high-level deep learning API used to build and train neural networks quickly and with minimal code. It is the industry standard for rapid prototyping, allowing engineers to test ideas fast in fields like computer vision and NLP before deploying them via the TensorFlow ecosystem.
Companies hire Keras developers as they prioritize speed to market. These developers can build, test, and iterate on models significantly faster than those using lower-level frameworks. With the release of Keras 3.0, these developers are now highly versatile, capable of running their models on TensorFlow, JAX, or PyTorch backends without changing code.
Keras is generally superior for beginners and rapid industry deployment due to its simplicity and its plug-and-play nature. Conversely, PyTorch is preferred for academic research and complex, custom architectures because it offers more granular control and flexibility.
In the US, Keras developers (often titled "Deep Learning Engineers") earn between $115,000 and $185,000 annually. For contract work, rates in Eastern Europe average $35–$75 per hour, while Indian Keras developers offer highly competitive rates of $20–$45 per hour.