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List all TensorFlow DevelopersGain access to a talent pool of 100,000 and hire top developers from anywhere in the world.
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With a pre-vetted talent pool of 100,000+ skilled remote developers, candidates undergo in-depth assessments with our in-house technical experts to validate their experience, technical proficiency, and problem-solving abilities.
We offer customized skill assessments based on client requests. Clients can select from a variety of evaluation methods to ensure the best talent fit.
We ensure a thorough verification process before onboarding, covering employment history, identity checks, and legal compliance.
TensorFlow developers use TensorFlow to develop scalable machine learning models. They develop neural networks, train them efficiently, and deploy models to production using TensorFlow's robust tools for data flow programming.
Scaling neural networks for computer vision, NLP, and reinforcement learning.
Familiar with TensorFlow's different APIs for model development, training, and deployment.
Deployment of models into production environments through TensorFlow Serving or TensorFlow Lite.
Utilizing Keras, a high-level API, to create efficient and rapid models.
Hyperparameter tuning of models to enhance performance and minimize overfitting.
Applying methods to synthetically enhance dataset diversity for better model generalization.
Using TensorFlow's AutoML capabilities to automatically select and optimize models for different tasks.
TensorFlow | Keras | TensorFlow Lite | TensorFlow Serving | TensorFlow Extended | TensorFlow.js | TensorFlow Hub |
TensorFlow Probability | OpenCV | NumPy | Pandas | Scikit-learn | Matplotlib | Jupyter Notebooks |
CUDA | Git | Docker | Kubernetes | AWS SageMaker | Google Cloud AI | Cloud Machine Learning Engine |
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