Join to apply for the Machine Learning Data Scientist role at Aresys Description ARESYS is an R&D oriented company with almost 20 years of history in the field of Remote Sensing and Sensor Networks Solutions. In our Earth Observation Business Unit, we develop state-of-the-art software solutions for Synthetic Aperture RADAR (SAR) applications. The candidate will become a specialist in satellite SAR, RADAR, and Optical data processing, working on real-life data, and will propose state-of-the-art Artificial Intelligence / Machine Learning solutions for new and innovative Remote Sensing applications. Our ideal candidate has proven experience in addressing Image and Signal processing problems through AI / ML tools, especially concerning image classification, segmentation, clustering, target detection, and target recognition. The candidate will be able to identify the most suitable ML solution through state-of-the-art literature research and accurately implement, train, and validate it using common ML tools. Main Tasks and Responsibilities Write robust Object-Oriented code, especially in Python; Develop self-running AI software to automate Remote Sensing image processing tasks; Research and implement appropriate ML solutions and architectures; Develop machine learning applications according to requirements; Select appropriate datasets and data representation methods through feature extraction and dimensionality reduction; Run machine learning tests and experiments; Perform statistical analysis and fine-tuning based on test results; Define the best training approach, select datasets, and validate the end-to-end training system; Extend existing ML libraries and frameworks; Keep abreast of developments in the field; Work closely with R&D and Software areas. Requirements Master's degree in computer engineering, telecommunications, mathematics, or other equivalent technical-scientific fields; Proven professional experience of at least 3 years as a Machine Learning Engineer or similar role; Understanding of data structures, data modeling, and software architecture; Familiarity with machine learning frameworks (like Keras, PyTorch, or TensorFlow); Outstanding analytical and problem-solving skills. Preferred Qualifications Experience in Signal / Image processing solution development; Knowledge of C / C++ and ability to integrate solutions into operational data processing environments; Knowledge of RADAR, SAR, and/or Optical systems and related data processing pipelines is a plus. Additional Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industry: Telecommunications This job is active and accepting applications. J-18808-Ljbffr