Machine Learning Specialist

13 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

DETAILS:
- Office location: Rovereto (Italy).
- Employment Type: Full-time. Hybrid lavoro da remoto.
- Seniority level: mid-level
- Contract: Contratto Collettivo Nazionale del Commercio
- Salary range: 30-35k€ (gross) depending on seniority and experience
- Starting date: no later than 02/2027
- 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 tr

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