Requirements Required Skills and Qualifications:
Education: Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.
Experience: Minimum of 3-5 years of professional experience in machine learning or deep learning roles.
Technical Skills:
o Expertise in Deep Learning frameworks like TensorFlow, Keras, PyTorch.
o Strong understanding of neural networks, backpropagation, convolutional networks (CNNs), recurrent neural networks (RNNs), transformers, and GANs.
o Solid understanding of machine learning concepts and algorithms.
o Strong proficiency in Python, including libraries like NumPy, Pandas, SciPy, Scikit-learn, and Matplotlib.
o Experience with GPU/TPU programming for efficient training.
o Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for model deployment.
o Familiarity with containerization (Docker) and CI/CD pipelines for model deployment.
o Experience in working with NLP, Computer Vision, or Reinforcement Learning projects is a plus