Machine Learning Data Scientist

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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.