Machine Learning Engineer
Pubblicato il 09-08-2026 - Tenova in Bardi
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Tenova, a Techint Group company, is a worldwide partner for sustainable, innovative and reliable solutions in the metals and also through the well-known TAKRAF and DELKOR brands in the mining industries.
Tenova leverages a workforce of over 2,500 forward-thinking 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.
Your role in Tenova: Machine Learning Engineer
Description:
Machine Learning Engineer
We are looking for a Machine Learning Engineer willing to join our Data Science and IoT Platform Team.
The role involves building, training, deploying ML models, and collaborating on AI based applications to boost production efficiency and to enable predictive maintenance.
It is also significantly involved in our digital transformation process and energy transition journey, offering the opportunity to influence them daily with creativity and innovative strength.
Key Responsibilities:
Work across the end-to-end machine learning lifecycle, from problem definition and data preparation to model development, deployment, and monitoring
Build, together with our Software engineers, AI based applications deployed on industrial machinery to boost production efficiency, reduce unplanned downtime and enable predictive maintenance
Work with colleagues from different Product Lines to help them create and bring innovative solutions to the market
What we ask for:
STEM Degree (Science, Technology, Engineering and Mathematics)
In depth experience with Python and knowledge of ML libraries (e.g. pandas, sklearn,
keras/ pytorch)
Hands?on experience developing and deploying machine learning models
Good Knowledge of English (written and spoken)
Nice to have
Experience with building and deploying LLM models
Experience with ML Computer Vision models
Knowledge of Agile methodology and SCRUM
Knowledge of Microsoft Azure.
We use Synapse and ML Workspace
What we offer:
The opportunity to contribute to Upstream&TAT; - RAID activities with a direct impact on business performance
A dynamic and international environment where ideas are valued and innovation is encouraged
Continuous learning opportunities through training, exposure to new technologies and cross-functional collaboration.
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Hybrid working model according to company policy and role requirements
Performance Management through an annual appraisal and development process
Company Canteen available on site
Supplementary healthcare coverage
Well?being initiatives to support employees
Fo r the position, the starting gross annual salary will befrom€ ******, with the final offer determined based on the candidate's seniority, experience, and skills, as well as the outcome of the selection process.
Workplace: Castellanza (VA)
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