Data Engineer
Pubblicato il 07-09-2026 - Dxc Technology in Italia
AI & Data Science Engineer Applylocations: Qualsiasi informazione aggiuntiva su questo lavoro è disponibile nel testo sottostante. Full timeposted on: Posted Todayjob requisition id: 51565123Job Description:DXC Technology is looking for Data Scientist to support in AI and Generative AI projects, contributing to practical solutions and improving business processes through ML models, NLP and intelligent automation.Support the design and implementation of AI solutions, including machine learning models, NLP, and computer vision applications.* Collaborate with senior team members to understand client requirements and translate them into practical AI solutions.* Stay up-to-date on AI trends and emerging technologies, applying knowledge to support solution development.* Participate in small-scale AI solution projects or tasks, gaining hands-on experience in real client environments.Requirements:* 2-5 years of experience in Gen AI projects.* Good knowledge of machine learning frameworks and libraries (Python, Tensor Flow, Py Torch, Scikit-learn,
etc.).* Good communication skills and ability to work in a collaborative team environment.* Ability to translate business requirements into practical AI solutions, including design and implementation.Nice to Have:* Experience with Agentic AI approaches or platforms.* Location: Bari with smart working possibilityWhy Join UsOffer PackageThe position offers a gross annual base salary starting from €38,000. Compensation is determined in line with the applicable collective labor agreement (CBA: Contratto Collettivo Nazionale di Lavoro per l'industria metalmeccanica e della installazione di impianti) and based on objective and gender-neutral criteria, including responsability, experience and skills.* Health Insurance* Permanent disability by accident coverage* Life and permanent disability by accident coverage* Meal vouchers* Supplemental Pension Plan* Lavoro da remoto Agreement* Employee Discounts ProgramContinuous LearningAccess learning