h3About Pi School /h3 pPi School is a research and innovation company born from two decades of building AI for real-world impact. Founded in 2017 by Marco Trombetti and Isabelle Andrieu, it is backed by 27 years of AI heritage through Translated, the founders' company and a leader in the language industry worldwide. /p pPi School embeds AI research expertise within organisations tackling complex challenges, contributing to open science and bridging the gap between academia and institutions. To date, it has delivered more than 100 AI solutions, trained over 250 engineers through the Pi School of AI programme and secured more than €7M in EU grants. /p pPi School leads and contributes to research initiatives. These include DVPS and Meetween, funded by the European Commission, and EVE and SatcomLLM, funded by the European Space Agency. /p h3We are looking for a Software Engineer (ML systems) to work in our office in Rome. /h3 pPi School’s AI research team is involved in several research projects with the European Space Agency and the European Commission, in the intersection of cutting‑edge Artificial Intelligence, LLMs, and multimodal models. Some of these are also deployed and get regular users. We are looking for a Software Engineer capable of contributing to designing, deploying, and maintaining scalable, production‑grade ML systems, from backend services and CI/CD to performance optimisation and open‑source‑ready engineering practices. /p h3Project specifics /h3 pSome of the projects you will be working on: /p ul liEVE is being developed by Pi School, with support from Mistral and Imperative Space for ESA Φ-lab. EVE is a Large Language Model for Earth Observation, born from Φ-lab's ultimate vision to develop an Earth Observation Digital Assistant capable of answering information and knowledge queries in natural language, providing accurate and validated content to support decision‑making and exploration. Discover more at eve.philab.esa.int. /li liMeetween aims to build a multimodal foundation model for speeches focused on videoconferencing use cases funded by the European Commission. Discover more at meetween.eu/. /li liDVPS is a Horizon Europe project, coordinated by Translated with 20 partners across 9 countries,



advancing multimodal foundation models that learn from language, vision and real‑world sensor data. It is building an open‑source toolkit for developing these models, with applications in language, health and the environment, trained on Europe’s largest HPC infrastructure. Discover more at /li /ul h3Responsibilities /h3 pYou will be part of Pi School's AI Research team full‑time, focusing on various technologies, including Large Language Models, as well as Machine and Deep Learning. In this role, you will: /p ul liDevelop scalable backend services and APIs for model serving and integration into user‑facing applications. /li liOwn CI/CD, testing, deployment, and monitoring of ML systems in cloud or HPC environments. /li liOptimise performance across the stack (data pipelines, GPU workloads, inference latency, cost efficiency). /li liCollaborate with researchers to translate experimental prototypes into robust, maintainable production systems. /li liContribute to engineering best practices (code quality, documentation, reproducibility, versioning). /li liSupport open‑source releases with production‑ready packaging and documentation. /li /ul h3Requirements /h3 ul liExcellent programming skills in Python. /li liHands‑on experience with: ul liCloud Services like AWS/GCP or platforms like RunPod/Lambda Labs. /li liModel serving frameworks such as FastAPI, BentoML, vLLM, Triton. /li liExperience using CI/CD tools. /li liExperience with relational databases (e.g., PostgreSQL) and basic data modelling. /li liSolid understanding of REST API design and microservices architecture. /li liFamiliarity with authentication/authorisation mechanisms (e.g., JWT, OAuth). /li liTrack record of deploying ML systems to production and managing publicly accessible APIs at scale. /li liSolid understanding of networking concepts, including proxies, reverse proxies, load balancing,



and secure endpoint exposure. /li /ul /li liBonus if you have experience with: ul liFamiliarity with Docker and Linux, including running GPU experiments. /li liLLM‑specific end‑to‑end frameworks like Langchain or NVIDIA NeMo. /li liExperience with ML/DL frameworks, especially Pytorch. /li liExperience with an end‑to‑end LLMOps pipeline. /li /ul /li liExcellent proficiency in English. /li /ul h3Our offer /h3 pBased on a standard level of experience, the offered salary typically ranges between €30.000,00 and €40.000,00. The actual package depends on factors such as location, scope of responsibilities, and performance. Compensation generally grows quickly as experience leads to greater contributions. Exceptionally strong candidates may be offered salaries above this range to acknowledge their higher potential impact. /p pStarting date: as soon as possible /p pAppplication deadline: 31 December 2026 /p h3Our office /h3 pPi School is hosted at Pi Campus, a working environment immersed in nature. Six luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups. /p h3Benefits and Perks /h3 pOur working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. /p ul liFresh fruit and snacks /li liAccess to the pool and Turkish bath /li liSports activities: gym and pilates /li liFree time in between your tasks to work on your personal projects /li liAccess to the Pi Campus parties and gatherings /li /ul pLearn more about our company: /p h3Diversity /h3 pAt Pi School, we proudly embrace and celebrate each individual's unique qualities in our team, regardless of race, sexual orientation, gender identity, or other differences. We recognise that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential. /p #J-18808-Ljbffr

📌 Software Engineer (ML systems) (Roma)
🏢 Pi School
📍 Roma