Machine Learning Data Scientist

ARESYS is a 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 are developing state-of-art software solutions for Synthetic Aperture RADAR (SAR) applications.

The candidate will become a specialist of satellite SAR,  RADAR and Optical data processing, working on real-life data,  and will propose state-of-art Artificial Intelligence/Machine Learning solution for new and innovative Remote Sensing application.

Our ideal candidate has a proven experience in addressing Image and Signal processing problems through AI/ML  tools especially concerning image classification, segmentation, clustering, target detection, target recognition.

The candidate will be able to identify the most suitable ML solution through state-of-art literature research and to accurately implement train and validate it through the most common ML tools on the market.

Main tasks and responsibilities:

• Develop self-running AI software to automate Remote Sensing  image processing tasks
• Research and implement the appropriate ML solutions and architecture
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods through typical feature extraction e dimensional reduction tasks
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Define the best training approach, select the best training dataset and validate the end-2-end training system
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Working in close contact with the R&D and SW 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
• Ability to write robust Object Oriented code especially in Python
• Understanding of data structures, data modelling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Familiarity with machine learning frameworks (like Keras, PyTorch or TensorFlow)
• Outstanding analytical and problem-solving skills

The following are preferential:

• Experience in Signal/Image processing solution development
• Knowledge of C/C++ and capability to integrate solution into an operational data processing environment
• As a plus: knowledge of the RADAR, SAR and/or Optical systems and related data processing pipelines