DGS provides valuable services and solutions in Cyber Security, Digital Solutions, and Management Consulting.
Our actions are guided by the goal of fully satisfying customer needs, ensuring absolute excellence in solutions and maximum reliability of results.
Our aim 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 that constantly guide our actions and decisions.
DGS boasts over 500 clients, most of whom are Enterprise-level, active in key market segments: Public Administration, Banking and Insurance, Industry, Energy and Utilities, Transport, and Telecommunications.
For the Digital Solutions Business Line, particularly for our ComplEtE Competence Center — a cooperative platform for end-to-end supply chain management — we are seeking a professional with proven experience in software development using AI, Machine Learning, and LLM technologies.
We are looking for candidates with:
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 primary 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 is commensurate with experience. If your profile aligns with the position, we will organize an initial interview to deepen our mutual understanding.
Otherwise, your CV will be stored in our database, and we will contact you in the future if relevant opportunities arise.
This announcement is open to candidates of all genders (L. 903 / 77).
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