Role & responsibilities
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.
Solid 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.