MACHINE LEARNING / DEEP LEARNING ENGINEER (M/F)

The job of the Machine Learning Engineer (M/F)

His main role is to select, train and deploy learning models based on a dataset. He/she may also develop algorithms and write programs to extract relevant information that will be used in the modeling phase.

The goal is to make the computer able to react to complex problems. It is a job at the crossroads between science, computer science and mathematics. This specialist may also be in charge of data engineering, which guarantees the cleanliness of all data.

Often confused with the data analyst - specialized in one category of data around a business or strategic issue - the data scientist has a more global vision and a more transversal role.

The job of the Deep Learning Engineer (M/F)

The role of a deep learning engineer is to be a specialist in the development and implementation of learning algorithms based on deep and complex neural network architectures.

‍Thisis a more technical task than that of a "classic" machine learning engineer, as the tools used are more advanced from a theoretical point of view.

In agriculture, for example, deep learning allows equipment to differentiate between plants and deliver the right treatment to them, thus reducing the use of herbicides and improving production.

The system is based on visual recognition. Deep learning includes convolutional neural networks (mainly adapted to image recognition) and recurrent neural networks (efficient for time series problems).

Technical skills

• Whether in machine learning or deep learning, the project manager is methodical and organized.
• His expertise is based on a solid foundation in mathematics and computer science.
• He/she masters reporting and works both independently and in a team.
• He is a pugnacious person who loves challenges and questioning.
• On the technical side, the ML or DL engineer knows frameworks such as TensorFlow and PyTorch. Python and C++ are part of his universe.
• Knowledge of Git, Docker and Cuda is obviously a plus.
• English does not scare him, he understands it and uses it very well.

Soft skills

• Force of proposal,
• English
• Rigor,
• Reactivity,
• Analytical and synthesis skills,
• Writing skills,
• Excellent interpersonal skills,
• Organizational skills.

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