Questa posizione è in Leonardo Riassunto dell'opportunità da parte della Joinrs AI : Leonardo cerca un Machine Learning Engineer Junior con laurea magistrale in Informatica, Ingegneria Informatica o similare .
Il candidato si occuperà di analisi problemi, definizione e implementazione di modelli ML, training, validazione e integrazione nei sistemi.
Offerta include contratto a tempo indeterminato, lavoro ibrido, RAL fino a €******, tredicesima, premio, welfare e formazione continua.
Il processo di selezione sarà interamente gestito da Leonardo.
Leonardo is an international industrial group, among the world's leading companies in Aerospace, Defense and Security, which creates multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space.
With over 60,000 employees worldwide, the company has a solid industrial presence in Italy, the United Kingdom, Poland, the United States, and operates in 150 countries also through subsidiaries, joint ventures and shareholdings.
A protagonist in the main strategic programs at a global level, it is a technological and industrial partner of Governments, Defense Administrations, Institutions and companies.
Within the Electronics Business Area, we are looking for a Machine Learning Engineer for our office in Rome Tiburtina Km.
12,400.
The person will mainly deal with the following activities: Analysis of the problem to be solved using AI/ML techniques Definition and implementation of the ML models architecture Training and validation of the implemented models Integration of ML models with the system for which they were created Educational qualifications: Master's degree in Computer Science / Computer Engineering or similar Seniority: Junior:



1-3 years of experience; Technical knowledge and skills: Excellent knowledge of the main Machine Learning frameworks (e.g. Pytorch, Tensorflow+Keras, ONNX, etc.) Good knowledge of the most used Machine Learning models and Foundation Models Excellent knowledge of Python and C/C++ programming languages Excellent knowledge of the fundamentals of computer science Behavioral skills: Proactivity Ability to work in a team Aptitude for problem solving Flexibility in dealing with topics outside one's domain of expertise Language skills: Good knowledge of the English language (B2) Computer skills: Knowledge of Linux and Windows operating systems Knowledge of Versioning systems (e.g. GIT, SVN, etc.) Knowledge of Continuous Integration systems (e.g. Jenkins, etc.) Knowledge of programs for SW design using UML Knowledge of tools for the MLOps chain in general Other: The ideal candidate offers their availability to make short/medium-term business trips, after adequate on-the-job training, in Italy and/or abroad.
Involvement, enhancement of skills, attention to the well-being and safety of people are the cornerstones of our corporate culture.
We are committed every day to fostering an inclusive and stimulating work environment, actively promoting the principles of inclusion, equity and valuing diversity.
What do we offer?




Our reference collective labor agreement is the CCNL for Private Metalworking Industry and Plant Installation; Work mode: Hybrid; Contractual category: Employee; Contractual type: permanent; Gross annual salary (RAL)/salary range: €32,****** - €40,000 Thirteenth month's salary; Bonuses linked to Business results; Welfare vouchers worth 250 euros per year; Company canteen; Opportunities for continuous training and updating of professional skills and soft skills; Well-being: we put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.
The company reserves the right to carry out evaluations regarding the level of classification and the economic proposal, based on objective criteria emerged during the selection process and in coherence with the seniority of the identified candidate and the position, in compliance with the principles of equity, transparency and equal opportunities provided for by current legislation.
We are waiting for your application: send us your CV within three weeks of the job advertisement opening.
How does the selection process work?
Following the collection of applications, the CVs most in line with the required requirements are evaluated and identified.
Selected candidates undergo an introductory interview with the Human Resources team, motivational and aptitude, followed by an in-depth technical interview with the Business.
At the end of the process, the person receives feedback, both in case of a positive and negative outcome.
Seniority: Primary Location: IT - Ronchi dei Legionari Additional Locations: Contract Type: Permanent Hybrid Working: --

📌 Machine Learning Engineer (Ronchi dei Legionari)
🏢 Leonardo
📍 Ronchi dei Legionari