Deep Learning Engineer

Design and develop deep learning and AI models.

Collect, clean, preprocess, and analyze datasets.

Build and train neural networks using Python, TensorFlow, PyTorch, or Keras.

Develop models for classification, detection, prediction, and recognition.

Evaluate model performance using appropriate metrics.

Optimize models for accuracy, speed, and scalability.

Perform data augmentation and hyperparameter tuning.

Deploy trained models into applications and production environments.

Work with APIs and cloud/ML deployment platforms.

Conduct experiments and research new deep learning techniques.

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

Maintain code, documentation, and model development reports.