Machine Learning Engineer

Tenova; Castellanza; Ibrido; EUR 32.000 - 39.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid working model

Supplementary healthcare coverage

Well-being initiatives

Canteen on site

Descrizione del lavoro

Tenova in Castellanza, Italy seeks a Machine Learning Engineer to join the Data Science and IoT Platform Team. You will build, train, deploy ML models and collaborate on AI-based applications to boost production efficiency and enable predictive maintenance.

You will work with colleagues across Product Lines to create innovative solutions, contributing to digital transformation and energy transition with creativity. Hybrid working model applies.

Competenze

• STEM degree required with strong foundation in data science.
• Proficient in Python and ML libraries (pandas, sklearn, keras, PyTorch).
• Hands-on experience building and deploying ML models.
• Good command of English, written and spoken.

Mansioni

• Work across the end-to-end ML lifecycle from problem formulation to deployment and monitoring.
• Collaborate with software engineers to build AI-based applications for industrial machinery to boost efficiency and enable predictive maintenance.
• Coordinate with multiple Product Lines to translate needs into scalable AI solutions.

Conoscenze

Python

ML libraries

Model deployment

English proficiency

Formazione

STEM Degree

Strumenti

Azure Synapse

Azure ML

ML Workspace

Pandas

Descrizione del lavoro

Job 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.
• 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)

00007374