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Machine Learning Data Scientist

ARESYS

Milano

In loco

EUR 40.000 - 60.000

Tempo pieno

30+ giorni fa

Descrizione del lavoro

A technology company in Milan is seeking a Machine Learning Data Scientist to develop innovative AI solutions for Remote Sensing applications. The ideal candidate holds a Master’s degree and has over 3 years of experience in Machine Learning and image processing. Key responsibilities include writing robust Python code, developing AI software, and performing statistical analysis. This full-time position offers the opportunity to work on cutting-edge technologies in the Telecommunications industry.

Competenze

  • Minimum 3 years as a Machine Learning Engineer or similar role.
  • Understanding of data structures, data modeling, and software architecture.
  • Outstanding analytical and problem-solving skills.

Mansioni

  • Write robust Object-Oriented code, especially in Python.
  • Develop self-running AI software for image processing.
  • Research and implement ML solutions and architectures.
  • Develop machine learning applications based on requirements.
  • Run machine learning tests and experiments.
  • Perform statistical analysis and fine-tuning.

Conoscenze

Machine Learning
Image Processing
Signal Processing
Python
AI frameworks (Keras, PyTorch, TensorFlow)
Analytical Skills

Formazione

Master's degree in computer engineering, telecommunications, or mathematics

Strumenti

Machine Learning Libraries
Data Processing Tools
Descrizione del lavoro

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.

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