Software Engineer C++ Roma, Pisa, Milano, Torino
Pubblicato il 21-09-2026 - INTECS in Pisa
h3SOFTWARE ENGINEER C++ ROMA, PISA, MILANO, TORINO /h3pstrongIntecs Engineering Spa /strongis an Italian company specialized in the design and development of applications, tools, software, hardware components and products for the Aerospace, Defence, Transport, Railway, Telecommunications and Smart Systems markets in collaboration with the main Industries, Organizations, Universities and European and Italian Research Laboratories.
/ppTo best support our customers in their transition to data-driven decision-making, Intecs Engineering is looking to expand its Artificial Intelligence Laboratory with a Data Scientist to be inserted in its offices, either Pisa or Napoli.
/ppstrongThis role is open to candidates that are willing to relocate in Pisa (Italy).
/strong /ppThe candidate will have the possibility to face and solve challenging problems in different areas including, for example:
(i) Detection and Tracking of targets in war scenarios based on optical and infrared on-ground cameras, as well as data fusion of detection metadata with other data sources (e.g. radar)
(ii) development of a solution for Predictive Maintenance and Anomaly Detection of underwater infrastructures based on a network of underwater sensors,
(iii) Classification of underwater objects and long-term temporal monitoring and Change Detection of underwater infrastructure based on LiDAR data,
(iv) Generative AI for improvement of internal System Engineering processes.
/ppAs a Data Scientist, we expect that you will be able to tackle business challenges with autonomy and scientific rigor and contribute to a culture of experimentation and continuous improvement within the Laboratory.
You will be involved in all the phases of a Data Science project lifecycle including: collection of requirements, State of the Art's analysis, explorative data analysis, design,
development and training/validation/testing of the AI-based solution on powerful servers and supporting the Machine Learning engineers in the deployment to the operative scenario.
/ppstrongMain Responsibilities: /strong /pulliDesign, implement, validate and test cutting-edge AI-based solutions /liliWrite software that ensures high accuracy and speed performances, maintainability, scalability, reusability and reliability upon deployment /liliRead scientific research papers, re-implement them and customize solutions according to company needs and customer requirements /liliExtract semantic patterns and useful insights from data /liliTrain AI-based models, collect results on validation datasets and iterate for model optimization /liliPrepare presentations and participate in technical meetings, with possibility of short travels in Italy and/or abroad /liliDraft technical documentations /liliContribute to the drafting of technical proposals for national and international research initiatives /li /ulpstrongMust Have: /strong /pulliGood knowledge of Python /liliKnowledge of the main packages for Machine Learning: numpy, pandas, matplotlib, sklearn /liliKnowledge of the Tensorflow framework or, in alternative, PyTorch /liliKnowledge of Jupyter notebook and one IDE (preferred Visual Studio Code, in alternative PyCharm) /liliExperience with Git versioning control system (preferred Gitlab) /liliGood background in Statistics and Machine Learning (classification, regression and clustering) /liliHands-on experience in Convolutional Neural Networks for classification and detection tasks,
as well as in tracking algorithms /liliHands-on experience with Docker container and conda environments /liliMaster Degree in a STEM field (preferred Computer Science, Computer Engineering, Physics or Mathematics) with a degree grade of at least ******* /liliAbility to present the results of the work to both technical and not technical audiences /liliGood knowledge of the English language (at least B2), both written and oral /liliWillingness to learn and ability to adapt to changing and challenging scenarios /liliAbility to work independently and in a team /lilistrongWillingness to work in the Defence field /strong /li /ulpstrongPreferred: /strong /pulliAt least 2 years work experience in an industrial setting as a Data Scientist /liliHands-on experience in Predictive Maintenance and Anomaly Detection algorithms /liliHands-on experience in building applications with Large Language Models (LLMs), including prompt engineering best practices and advanced prompting techniques.
/liliPractical experience developing and deploying Retrieval-Augmented Generation (RAG) systems, including vector databases, embedding pipelines, and retrieval optimization.
/liliExperience working with Agent-based architectures (preferred LangChain framework), including tool integration and multi-step reasoning workflows.
/liliHands-on experience in Experimental Tracking with MLflow /liliAbility to propose original solutions to improve our products and services /li /ulpstrongWhat we offer: /strong /pulliWork with a team of professionals with different background and experience /liliFace technical problems in different technology domains from Defence and Space to Railway and Automotive /liliTake on more responsibility and grow professionally /liliPresent projects to workshops /liliHybrid work (up to 60%) after an initial period of candidate assessment /liliRestaurant ticket of 8 euros for all working days /li /ul #J-*****-Ljbffr