AI Engineer - Categoria Protetta L.68/99
$80,000–$120,000 year
On-site · Palermo, Sicily, Italy
Job Summary
The AI Engineer collaborates on the adoption of AI solutions, designing scalable Machine Learning software for client use cases and implementing them for production with required performance and security standards. Responsibilities include working closely with Cloud Data Architects, Data Scientists, and Data Engineers to create high-quality ML solutions, developing MLOps tools, providing guidelines on data and AI architectures, and contributing to research and technology scouting. Required qualifications include a Master's Degree in a STEM field, strong analytical skills, experience with Python, knowledge of ML, and fluency in both Italian and English. The position welcomes both junior and senior profiles, and offers a dynamic work environment with opportunities for personal and professional development.
Required Qualifications
- Iscrizione alle liste Categorie Protette Art.1 LG 68/99
- Laurea Specialistica in Ingegneria Informatica, Ingegneria Matematica, Informatica, Statistica o discipline affini (STEM)
- Solid knowledge and proven experience in programming and scripting with Python
- Knowledge of deep learning, NLP and unstructured data analysis
- Experience with version control tools (e.g. Git)
- Understanding technologies related to Big Data such as Hadoop, MapReduce, Spark
- In-depth knowledge of relational databases and SQL constructs and SQL Programming
- Knowledge of non-relational databases
- Fluent in Italian and professional English
Desired Qualifications
- Forte approccio quantitativo e brillanti doti analitiche
- Passione e competenza in ambito data exploration, analisi dati e creazione di modelli
- Competenze statistiche, di Data Mining, Machine Learning
- Conoscenza dei linguaggi PySpark o Scala
- Esperienza di lavoro su piattaforma Databricks
- Esperienza nello sviluppo di applicazioni di Gen AI
- Conoscenza e l’utilizzo di API Cloud di Intelligenza Artificiale dei principali cloud provider (Google, Microsoft, AWS, IBM)
- Conoscenza di tecniche di semi-supervised e self-supervised learning
- Esperienza con framework di lavoro AGILE (Scrum, Kanban)
Additional Requirements
- Must be registered in the protected categories under Art.1 LG 68/99
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