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Skills far below organizational needs |
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Skills somewhat sufficient, with room for improvement |
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Skills fully sufficient, exceeding organizational requirements |
Don’t Know |
Machine learning (e.g., algorithms, model training, optimization techniques) |
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Deep Learning (e.g., neural networks, CNNs, RNNs) |
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Natural language processing (NLP) |
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Programming language (Python, etc.) |
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Computer vision / image recognition |
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Data Engineering (e.g., data pipelines, data preprocessing, data management) |
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Cloud computing for scalable AI |
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Model Interpretability |
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Reinforcement Learning (e.g., used in gaming, robotics, optimization apps) |
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Big Data |
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AI/ML specific tooling (PyTorch, etc.) |
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QA Testing |
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