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 environmentIFOM 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.Both early-career and more experienced profiles are welcome.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;
Evaluating open-source and commercial models and services, including managed APIs and biomedical/clinical models (e.G., Contributing to the deployment and operation of AI services across on-premises infrastructure, cloud environments, managed AI services and APIs, and academic computing resources.Helping adopt good engineering and MLOps practices for evaluation, monitoring, versioning, and maintainability, in proportion to the maturity and criticality of each service.Working closely with the Research HPC Engineer to integrate AI workloads into the internal computing platform, and with the Bioinformatics Engineer to make AI tools accessible and easy to use for the research community.Interfacing effectively with the ICT department on infrastructure, security, networking, and integration topics.Producing clear technical documentation and contributing to internal training for scientific, technical, and operational stakeholders.
Strong proficiency in Python, including familiarity with the ML ecosystem (e.G., PyTorch, Hugging Face), and solid software development habits.Solid fundamentals in machine learning and deep learning.Hands-on experience (academic, personal, or professional) with LLMs and modern AI tooling, such as RAG patterns, prompt engineering, vector databases, and application frameworks such as LangChain or LlamaIndex.Comfort working in Linux environments, using Git, and building reproducible development workflows.Interest in cloud-based AI services and APIs, and in understanding the technical and operational trade-offs associated with their use.
Exposure to managed AI services, cloud-based AI APIs, or commercial cloud environments.Familiarity with Kubernetes, Infrastructure-as-Code, or deployment automation.Background or applied experience in biomedical / life sciences domains (appreciated, not required).
A master’s degree (or a bachelor’s degree with equivalent demonstrable experience) in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related quantitative field.
LanguagesAdvanced proficiency in spoken and written English;
engineering rigor and a service mindset;
ability to collaborate across scientific, engineering, and IT/ICT functions and to translate scientific needs into accessible technical solutions;
clear written and verbal communication.
Continuous training;
Continuous support to candidates and their families (including homing, schooling, registration to the national health system, work permit etc.) Medical Service;
Caf service- tax declaration;
Lab G: it is a lab specifically designed for pregnant or breastfeeding women researchers.
Type of ContractPermanent contract, tempo pieno
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CCNL Chimico FarmaceuticoCompensation: €45,000 – €55,000 gross annual salary, based on experience.
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