- Deep learning techniques such as GPT, VAE, and GANs.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
- Robust programming skills in Python, Java, or C++.
- Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of data structures, algorithms, and statistics.
- Proficiency in model development, training, and evaluation.
- Familiarity with deep learning, NLP, and computer vision.
- Experience with data preprocessing, feature engineering, and model deployment