DGS provides valuable services and solutions in the fields of Cyber Security, Digital Solutions, and Management Consulting.
Our guiding purpose is the full satisfaction of our clients' needs, always ensuring excellence in our solutions and maximum reliability of results.
Our goal is to design the best ICT solutions capable of solving 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, serving as beacons that constantly guide 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 the ComplEtE Competence Center—a cooperative platform for end-to-end supply chain management—we are seeking experienced professionals for software development activities involving 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 architectures based on microservicesStrong 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 using Agile/Scrum methodologies is preferred.
Position salary will be commensurate with experience. If your profile aligns with the position, we will arrange an initial interview to explore mutual fit.
If not, your CV will be stored in our database for future opportunities matching your skills and experience.
This advertisement is addressed to candidates of all genders (L. 903/77).
#J-18808-Ljbffr