ph3Overview /h3 pTenova, a Techint Group company, is a worldwide partner for sustainable, innovative and reliable solutions in the metals and mining industries. Tenova leverages a workforce of over 2,500 professionals located in 18 countries across 5 continents, who design technologies and develop services that help companies reduce costs, save energy, limit environmental impact and improve working conditions. /p pYour role in Tenova: Machine Learning Engineer /p h3Responsibilities /h3 ul liWork across the end-to-end machine learning lifecycle, from problem definition and data preparation to model development, deployment, and monitoring /li liBuild, together with our Software engineers, AI based applications deployed on industrial machinery to boost production efficiency, reduce unplanned downtime and enable predictive maintenance /li liWork with colleagues from different Product Lines to help them create and bring innovative solutions to the market /li /ul h3What we ask for /h3 ul liSTEM Degree (Science, Technology, Engineering and Mathematics) /li liIn depth experience with Python and knowledge of ML libraries (e.g. pandas, sklearn, keras/pytorch) /li liHands-on experience developing and deploying machine learning models /li liGood Knowledge of English (written and spoken)



/li /ul h3Nice to have /h3 ul liExperience with building and deploying LLM models /li liExperience with ML Computer Vision models /li liKnowledge of Agile methodology and SCRUM /li liKnowledge of Microsoft Azure. We use Synapse and ML Workspace /li /ul h3What we offer /h3 ul liThe opportunity to work on innovative AI-driven projects with real business impact. /li liA dynamic and international environment where ideas are valued /li liContinuous learning (training, exposure to new technologies, cross-team collaboration) /li liThe applicable collective labor agreement is CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti /li liHybrid working model (6-8 days) /li li14th-month salary /li /ul ul liPerformance premio linked to business results /li liPerformance Management: continuous development process with multi-source feedback and defined development actions /li /ul ul liAnnual welfare benefits worth €250 /li liSavings leisure: access to discounts on transport, sports, travel, and cultural activities /li liSupplementary healthcare coverage /li liWell-being initiative /li /ul pHybrid working model (6-8 days), and the starting gross annual salary will be from €34,000. The final offer is determined based on the candidate’s seniority, experience, and skills, as well as the outcome of the selection process. /p pWorkplace: Castellanza (VA) /p /p #J-18808-Ljbffr

📌 Machine Learning Engineer (Varese)
🏢 Tenova
📍 Varese