DGS provides valuable services and solutions in Cyber Security, Digital Solutions, and Management Consulting .
The guiding purpose of our actions is to fully satisfy our clients' needs, always ensuring excellence in solutions and maximum reliability of results .
Our goal is 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 culture and shared values of the entire group, acting as beacons 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 for end-to-end supply chain management—we are seeking a
We wish to connect with professionals with proven experience in software development using AI, Machine Learning, and LLM technologies .
* Experience with Python libraries for ML / AI (TensorFlow, PyTorch) and Gen AI / LLM (e.g., OpenAI)
* Knowledge of Machine Learning models (supervised, unsupervised) and training of custom models
* Familiarity with tools for interacting with neural networks
* Good understanding of modern architectures based on microservices
* Strong analytical skills to translate business requirements into application logic
* Proficiency with ALM tools (Jira / Microsoft DevOps)
* Basic knowledge of relational databases; familiarity with time-series databases is a plus
* Basic understanding of CI / CD concepts and DevOps practices
Experience working in organized teams using Agile / Scrum methodologies
Position is commensurate with experience.
If your profile aligns with this role, we will arrange an initial interview to deepen our mutual understanding. If not selected, your CV will be stored in our database, and we will contact you in the future if suitable opportunities arise.
This announcement is addressed to candidates of all genders (L. 903 / 77).
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