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Data scientist

Salerno
We Do Advisory
Data scientist
Pubblicato il 14 giugno
Descrizione

DGS provides valuable services and solutions in Cyber Security, Digital Solutions, and Management Consulting.
Our goal is to fully satisfy our clients' needs by ensuring the highest quality solutions and maximum reliability of results.
We aim to design the best ICT solutions capable of addressing the technological challenges of the new millennium, making innovation and excellence the hallmarks of our brand.
Our Core Values reflect the shared culture and principles of our entire group, guiding our actions and decisions.
DGS boasts over 500 clients, mostly of Enterprise class, active in key market segments: Public Administration, Banking and Insurance, Industry, Energy and Utilities, Transport, and Telecommunications.
For our Digital Solutions Business Line, particularly for our ComplEtE Competence Center— a cooperative platform managing the end-to-end supply chain—we are seeking a professional with proven experience in software development using AI, Machine Learning, and LLM technologies.
Proficiency in Python libraries for ML / AI (TensorFlow, PyTorch) and Generative AI / LLM (e.g., OpenAI)Experience with Machine Learning models (supervised, unsupervised) and training custom modelsKnowledge of tools for neural network interactionGood understanding of modern microservices architecturesStrong analytical skills to translate business requirements into application logicFamiliarity with ALM tools (Jira / Microsoft DevOps)Basic knowledge of relational databases; familiarity with time-series databases is a plusBasic understanding of CI / CD concepts and DevOps practicesExperience working in organized teams following Agile / Scrum methodologies.
Position is commensurate with experience. If your resume aligns with the role, we will arrange an initial interview to get to know each other better.
If not selected, your CV will be stored in our database for future opportunities matching your skills and experience.
This job posting is open to candidates of all genders (L. 903 / 77).

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