AI Engineer

2026/06 \| Milan
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.

AI Engineer
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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.

Responsibilities

• 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 environments; automated workflows; clear documentation.


• Evaluating open\-source and commercial models and services, including managed APIs and biomedical/clinical models (e.g., BioBERT, PubMedBERT, MedGemma, Meditron, and similar).


• 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.


• Working closely with the Research HPC Engineer and the Bioinformatics Engineer.


• Interfacing effectively with the ICT department on infrastructure, security, networking, and integration topics.


• Producing clear technical documentation and contributing to internal training.

Qualifications

• Strong proficiency in Python, including familiarity with the ML ecosystem (e.g., PyTorch, Hugging Face).


• Solid fundamentals in machine learning and deep learning.


• Hands\-on experience with LLMs and modern AI tooling such as RAG, prompt engineering, vector databases, LangChain, or LlamaIndex.


• Comfort working in Linux environments, using Git, and building reproducible workflows.


• Containerization experience with Docker and Apptainer (Singularity).


• Working knowledge of Kubernetes.


• Interest in cloud\-based AI services and APIs.

Nice to Have

• Exposure to managed AI services and cloud\-based AI APIs.


• Familiarity with open\-source or self\-hosted model serving solutions.


• Experience with HPC environments and workload schedulers such as SLURM.


• Exposure to MLOps tools for experiment tracking, evaluation, CI/CD, or model lifecycle management.


• Familiarity with Infrastructure\-as\-Code and deployment automation.


• Experience with fine\-tuning, quantization, evaluation methodologies, or agentic workflows.


• Background in biomedical or life sciences domains.

Education

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.

Languages

• Advanced proficiency in spoken and written English.

Soft Skills

• Learning and teamwork attitude.


• Problem solving.


• Good interpersonal skills and empathy.


• Curiosity and learning agility.


• Engineering rigor and service mindset.


• Ownership and reliability.


• Ability to collaborate across scientific, engineering, and IT/ICT functions.


• Clear written and verbal communication.

What We Offer

• International work environment.


• Continuous training.


• Flextime.


• Guest house inside the campus.


• Discount agreements for gym, pharmacy, psychology services, and local shops.


• Bar and canteen inside the campus with lunch benefit.


• Company nursery.


• Relocation and family support through the Welcome Office.


• Medical service.


• Laptop.


• CAF service for tax declaration.


• Lab G: a laboratory specifically designed for pregnant or breastfeeding women researchers.

Contract Type

Permanent contract, full time \- CCNL Chimico Farmaceutico

Compensation: €45,000 – €55,000 gross annual salary, based on experience.

Location

Milan \- Scalo di Porta Romana area

Contact Details

If you are interested in this opportunity, please submit your CV and a letter of interest to: recruitment@ifom.eu

This announcement is addressed to both sexes pursuant to Laws 903/77 and 125/91 and to people of all ages and nationalities pursuant to Legislative Decrees 215/03 and 216/03\.

last update: 12/06/26

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