Responsibilities
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Run machine learning tests and experiments
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Select appropriate datasets and data representation methods
Skills
• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, Java and R
• Good Knowledge of Git
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Outstanding analytical and problem-solving skills
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