Artificial Intelligence – Deep Learning Engineer

✔️ Create systems based on neural networks that can learn and make decisions from large amounts of data.
✔️ Use powerful computing tools to teach the system using data, and test how well it performs.
✔️ Prepare, clean, and organize data (e.g., images, videos, or text) for training deep learning models.
✔️ Improve how fast and accurately the models learn and perform tasks.
✔️ Work with data scientists, software engineers, and product teams to deliver AI solutions that solve real-world problems.
✔️ Learn and apply the latest deep learning research, tools, and techniques.
✔️ Strong skills in Python programming
✔️ Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
✔️ Solid understanding of neural networks, convolutional networks (CNNs), and recurrent networks (RNNs)
✔️ Good knowledge of mathematics, especially linear algebra, probability, and calculus
✔️ Ability to handle large datasets and use tools such as NumPy, Pandas, or OpenCV
✔️ Experience with computer vision, natural language processing (NLP), or speech recognition
✔️ Familiarity with GPU computing and tools such as CUDA for model training
✔️ Knowledge of MLOps and deploying deep learning models into real-world applications
✔️ Experience working with cloud services (e.g., AWS, GCP, Azure)