Machine Learning Engineer

October 20

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💰 Seed Round on 2016-03

Description

• Study and transform data science prototypes • Design machine learning systems • Research and implement appropriate ML algorithms and tools • Develop machine learning applications according to requirements • Select appropriate datasets and data representation methods • Run machine learning tests and experiments • Perform statistical analysis and fine-tuning using test results • Train and retrain systems when necessary • Extend existing ML libraries and frameworks • Keep abreast of developments in the field

Requirements

• Proven experience as a Machine Learning Engineer or similar role • Understanding of data structures, data modelling and software architecture • Deep knowledge of math, probability, statistics and algorithms • Ability to write robust code in Python, Java and R • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) • Excellent communication skills • Ability to work in a team • Outstanding analytical and problem-solving skills • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus