Machine Learning Specialist

AMIGO Srl is the first Italian SME working on climate services. Founded in 2013 by two climate scientists with a wide experience in management and entrepreneurship, AMIGO has a passionate team of experts specialised in the development of innovative IT-based climate services in different sectors, i.e. energy, food and agriculture, water management, re/insurance, and infrastructure. AMIGO’s solutions synergise the best available climate data from satellite observations, modelling products, and in-situ measurements through state-of-art techniques of machine learning, statistical analysis, and numerical modelling. Co-design is the pillar of AMIGO’s innovation, to ensure that the solutions are tailored to the end user’s needs and are an added-value in the decision-making process.

The company works on a number of topics including:

• Development and improvement of skilful climate forecasts
• Co-design of tools for managing climate risk for a range of sectors, e.g. renewable energy generation
• Early-warning systems to foster the resilience of the energy sector to climate extremes.

AMIGO collaborates with research institutions and universities in Europe, Africa, North America, South America, and Australia, and with international organisations such as the World Meteorological Organisation.

AMIGO has also been the contractor or key partner of a variety of projects funded by the EU,

intergovernmental organisations, and regional administrations.

As AI/Machine-Learning Specialist, you will build AI/Machine-Learning models, design and implement algorithms with the aim of gaining insights and extracting information from complex, geo-spatial data. You will join a highly innovative SME, collaborating with a multi-disciplinary team on a wide range of problems in different climate-sensitive sectors.

Your role

• Designing, developing and deploying new and improved AI/Machine Learning algorithms
• Conducting data analysis, feature engineering, and model evaluation to improve accuracy and performance
• Documenting models, processes, and workflows for transparency and reproducibility
• Managing individual project priorities, deadlines and deliverables
• Participating in short business trips (domestically and internationally)

Minimum qualification

• MSc degree in a quantitative discipline (e.g. mathematics, physics, engineering). Holding a PhD is a plus
• 3+ years professional experience working in similar positions
• Experience with AI/ML frameworks such as PyTorch, scikit-learn, Keras, etc
• Proficiency in Python and use of the Xarray, GeoPandas and visualization libraries
• Excellent problem-solving and communication skills
• Professional Working proficiency in spoken and written English (C1)

Preferred qualification

• Specific expertise: climate data, earth observations, geospatial data, time series data
• Certifications in AI/ML technologies are desirable
• Workload management, use of Dockers and Containers

The ideal candidate is a team-player with a strong ability in problem solving and time management, loves new challenges and is driven curiosity and willingness to understand how things work in practice, is sensitive to the climate crisis and want to help increase the resilience of our society.

Details

• Full-time. Hybrid smart working possible
• Mid-level seniority
• Contratto Collettivo Nazionale del Commercio
• RAL 30-35k€ (gross) depending on seniority and experience
• Starting date: no later than 02/2027

Office location: Rovereto (TN, Italy)

To apply please send your cv and cover letter.

A valid permit to work in Italy and the EU is needed for foreign workers from non-EU / EEA countries. Amigo is committed to diversity and inclusion. Applications from members of traditionally underrepresented groups, people with disabilities, women, and people who identify as LGBT+ are warmly encouraged.

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