Industrial ML Engineer – Predictive Maintenance & AI

Tenova S.p.A.; Varese; Ibrido; EUR 30.600 - 37.400; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work model

14th-month salary

Performance bonus

Supplementary healthcare

Annual welfare benefits €250

Discounts on transport, sports, travel

Descrizione del lavoro

Tenova S.p.A. is seeking a Machine Learning Engineer to drive end-to-end ML projects for industrial machinery in Castellanza (VA). You will deliver data-driven solutions to boost production efficiency, reduce downtime, and enable predictive maintenance.

The role involves collaborating with software engineers and product lines to translate AI concepts into field-ready applications, with a focus on hands-on ML model development, deployment, and monitoring. English proficiency is required.

Competenze

• 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)

Mansioni

• 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

Conoscenze

Python

ML libraries

Model deployment

English proficiency

Formazione

STEM Degree

Strumenti

Azure

Synapse

ML Workspace

Descrizione del lavoro

Tenova S.p.A. is seeking a Machine Learning Engineer to drive end-to-end ML projects for industrial machinery in Castellanza (VA). You will deliver data-driven solutions to boost production efficiency, reduce downtime, and enable predictive maintenance.

The role involves collaborating with software engineers and product lines to translate AI concepts into field-ready applications, with a focus on hands-on ML model development, deployment, and monitoring. English proficiency is required.