Deep Learning Engineer

Develop and implement deep learning models using frameworks such as TensorFlow and PyTorch.

Prepare, clean, and preprocess large datasets for model training.

Train, validate, and fine-tune neural network models.

Work with CNNs, RNNs, Transformers, and other deep learning architectures.

Evaluate model performance using appropriate metrics.

Optimize models for accuracy, speed, and scalability.

Deploy machine learning and deep learning models into production environments.

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

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

Document experiments, methodologies, and model development processes.

Stay updated with the latest developments in AI and deep learning.