AMIGO, the first Italian SME working on climate services, is looking for an AI/Machine-Learning Specialist to develop and improve algorithms aimed at extracting insights and information from complex geospatial data. You will join a multidisciplinary team working on a wide range of problems across different climate-sensitive sectors
What to expect
You will join a multidisciplinary team working on projects across climate-sensitive sectors, including energy, food and agriculture, water management, re/insurance and infrastructure. Your work will focus on developing and improving AI and machine-learning models applied to complex geospatial and climate data, combining algorithm development, data analysis, feature engineering and model evaluation. The position is full time, with hybrid smart working available, and is based in Rovereto, Trentino. The role is at mid-level seniority and may involve short business trips in Italy and abroad. The contract follows the CCNL Commercio, with a gross annual salary ranging from €30,000 to €35,000, depending on seniority and experience. The expected starting date is no later than February 2027.Position
The selected candidate will design, develop and deploy new and improved AI and machine-learning algorithms and conduct data analysis, feature engineering and model evaluation to improve accuracy and performance. The role includes documenting models, processes and workflows to ensure transparency and reproducibility, managing individual project priorities, deadlines and deliverables, and participating in short business trips, both domestically and internationally.
Requirements
The ideal candidate should have:
- a Master’s degree in a quantitative discipline, such as Mathematics, Physics or Engineering;
- at least 3 years of professional experience in similar roles;
- experience with AI/ML frameworks such as PyTorch, scikit-learn, Keras or equivalent;
- proficiency in Python and in the use of Xarray, GeoPandas and visualisation libraries;
- excellent problem-solving and communication skills;
- professional working proficiency in spoken and written English at C1 level.
Preferred requirements
The following will be considered a plus:
- a PhD;
- specific expertise in climate data, Earth observations, geospatial data or time-series data;
- certifications in AI/ML technologies;
- experience with workload management, Docker and containers.
info@amigoclimate.com
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