Data Science and Machine Learning Engineer

Data Science and Machine Learning Engineer

Responsibilities:

•  You will work on finding images by content in medical imaging. You will build high-performance search engine services for clinical applications.
•  You will use your knowledge in Artificial Intelligence and Machine Learning Scientists to develop strong and innovative biomarkers, based on data from medical imaging systems such as MRIs and CT scanners, and other data sources.
•  Your work will involve the research and development in Agile mode of innovative algorithms and systems in Machine Learning. 

Education: 

Master’s degree or PhD in Mathematics, Computer Science, or equivalent fields.

Main skills required:

• Extracting visual information on a large scale.
• Image signatures, selection techniques.
• Deep Learning, mapping.
• Data structure inference models, clustering.
• Multimodal extraction.

Experience:

• Minimum 2 years relevant experience in Machine Learning.
• Author on related searches.
• Strong Machine Learning Experience
• Solid experience in OpenSource technologies to accelerate innovation

Knowledge:

• In-depth technical knowledge in AI, Deep Learning and Machine Learning in machine vision or related fields
• Strong fundamental knowledge in statistical data processing, regression techniques, neural networks, decision trees, classification, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, and dimensionality reduction.

Additional skills:

• Strong programming skills in R, Python, C ++, Scikit Learn, TensorFlow or another programming language
• Proficiency in oral and written English, French fluency is a bonus

#ComputerVision

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Keywords: Data Science / Machine Learning / Artificial Intelligence / Clustering /  Statistical Data Processing / Regression Techniques / Neural Networks / Bayesian Inference / R / Python / TensorFlow