DGS provides valuable services and solutions in Cyber Security, Digital Solutions, and Management Consulting.
Our guiding purpose is to fully satisfy customer needs, always ensuring the excellence of 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 principles of the entire group, acting 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 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
We wish to connect with professionals 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 key tools for interacting with neural networksGood 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 following Agile / Scrum methodologies.
Position is commensurate with experience. If your resume aligns with the role, we will schedule an initial interview to deepen our mutual understanding.
Otherwise, we will keep your resume in our database and contact you in the future if suitable opportunities arise.
This advertisement is aimed at candidates of all genders (L. 903 / 77).
#J-18808-Ljbffr