Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.

With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.

Please submit your CV in English.

You will be working on 2 topics:

One is related to automation of engine calibration tests, which will involve a fair amount of custom AI agents development.

The second topic is related to the optimization of a traction battery failure prediction model that calls for improvements to better handle situations with battery condition deteriorating rapidly.

Tasks:

• Data exploration.
• Generating actionable insights from data.
• Building, deploying and optimizing ML/AI models.
• Preparing technical documentation.

Requirements:

• Bachelor's or Master's degree in: Data Science, Machine Learning, Artificial Intelligence, Big Data.
• Good grasp of Python and cloud computing (GCP, AWS, Azure Databricks).
• At least foundations of predictive modeling.
• Hands-on experience in building generative AI model based apps.
• English minimum B2 Level.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.