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Research and implement appropriate ML algorithms and tools
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Run ML tests and experiments
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Implementing appropriate ML algorithms
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Select appropriate datasets and data representation methods
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Extend existing ML libraries and frameworks
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Competencies
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Understanding of data structures, data modeling and software architecture
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Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
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Deep knowledge of math, probability, statistics and algorithms
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Ability to write robust code in Python, Java and R
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BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus
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