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Ai engineer (caserta)

Caserta (Provincia di Lecco)
IFOM
Pubblicato il 3 giugno
Descrizione

IFOM is an internationally recognized non-profit cancer research institute supported by the Italian Association for Cancer Research (AIRC) based in Milan within a highly dynamic urban environment
IFOM continuous success is ensured by the recruitment of highly selected undergraduate, graduate and post-graduate researchers from over 24 countries worldwide.
IFOM is hosted within a research campus shared with the European Institute of Oncology and the Italian Institute of Technology.
IFOM is committed to creating a safe and inclusive environment, based on mutual respect and the enhancement of diversity, offering equal job opportunities to all qualified candidates.
We seek for our Institute: AI Engineer
Candidate will report directly to the Head of Research Computing & Data Science and will be responsible for designing, prototyping, and deploying AI-enabled services — with a strong focus on Large Language Models and generative AI — that support IFOM's scientific activities and internal operations, working across a hybrid landscape that includes on-premises infrastructure, cloud environments, managed AI services and APIs, and academic computing resources.
We are looking for a candidate whose level of seniority will be assessed primarily on demonstrated skills and hands-on experience; both early-career and more experienced profiles are welcome.
Candidate will be responsible for:
- Designing and delivering AI-enabled services that support IFOM's scientific activities and internal operations, including LLM applications, RAG systems, agent-assisted workflows, document and knowledge workflows, NLP pipelines, and other tools that can be operated as shared services.
- Working with colleagues across Research Computing & Data Science, IT/ICT, and scientific units to understand needs, prototype solutions quickly, and evolve promising ideas into reliable services.
- Applying software engineering discipline to AI work: version-controlled code, prompts, data, and models; reproducible

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