Machine Learning Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7e0vlz

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.

Legga la panoramica di questa possibilità per capire quali competenze sono richieste, incluse le soft skill pertinenti e la padronanza di pacchetti software.

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. xysqume

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

For the position, the starting gross annual salary will be from € 35.000, 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)

#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7e0vlz