Neural Network Engineer

Design and develop neural network and deep learning models.

Prepare, clean, and preprocess datasets for model training.

Train, validate, and fine-tune machine learning models.

Implement architectures such as CNNs, RNNs, LSTMs, and Transformers.

Optimize models for accuracy, speed, and scalability.

Conduct experiments and analyze model performance.

Develop solutions for computer vision, NLP, recommendation systems, or other AI applications.

Use frameworks such as TensorFlow, PyTorch, or Keras.

Deploy trained models into production environments.

Monitor model performance and improve models based on real-world results.

Collaborate with data scientists, software engineers, and product teams.

Document model architecture, experiments, and technical processes.