Machine Learning Specialist

03 ott - Rovereto
AMIGO

AI/ML SPECIALIST

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 QUALIFICATIONS:
- 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 QUALIFICATIONS:
- 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

If you are a team-player with a strong ability in problem solving and time management, if you love new challenges and are driven by your curiosity and willingness to understand how things work in practice, if you are sensitive to the climate crisis and want to help increase the resilience of our society, well, you should definitely contact us

To apply, please send an email to (email hidden) with your CV and cover letter.

DETAILS:

Office location: Rovereto (Italy)

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