Junior AI Specialist for Environmental Data Analysis

25 ago - Genova
ARTYS

Role Overview
We are looking for a Junior AI Specialist to support the development of data analysis and Artificial Intelligence tools across several thematic areas addressed by Artys.
The selected candidate will work alongside senior researchers and engineers on projects involving environmental and meteorological data analysis, Earth Observation products, agriculture monitoring, and Intelligent Transport Systems.
The role focuses on applying AI and data analysis techniques to heterogeneous datasets from satellite observations, sensor networks, and other data sources, contributing to the development of innovative services for operational decision support.

Key Responsibilities
Support the analysis and integration of heterogeneous datasets, including time series, geospatial datasets and images.
Contribute to the development and testing of machine learning models for data analysis and predictive analytics.
Assist in data preprocessing, exploration, and visualization to support the development of data-driven services.




Collaborate with senior team members in the design and development of tools and services for environmental and meteorological monitoring, including applications based on Earth Observation data.
Contribute to the development and experimentation of AI-based solutions supporting operational applications such as agriculture monitoring and mobility management systems.
Participate in research and innovation projects involving machine learning applications.

Required Qualifications
BSc or MSc degree in a STEM field (e.g., Computer Science, Engineering, Mathematics, Physics, or related disciplines) with coursework or experience in Artificial Intelligence, Machine Learning, or data analysis.
Consolidated knowledge of common Python data analysis libraries.
Experience with machine learning tools and at least one of the following Python libraries:
Scikit-learn
TensorFlow
PyTorch
Experience in statistical and data analysis, data visualisation and interpretation.

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