What you’ll do

• Contribute to the development of Prima’s core systems, whether building ML-driven services, designing scalable data pipelines, or creating reliable microservices;
• Help design and maintain data pipelines that allow teams to ingest, transform, and serve high quality data efficiently;
• Participate in the full engineering lifecycle: from exploring data and developing models to deploying services and monitoring them in production;
• Learn continuously by experimenting, reading, and sharing ideas with teammates to stay current with new technologies.

What we’re looking for

• Ability to break down problems, learn quickly, and test different approaches;
• Programming foundations (language is not important. We value clean, maintainable code above all);
• Curiosity for data, software, and ML — whether from coursework, projects, or personal initiatives;
• Interest in building systems end-to-end: from ingesting and transforming data, to creating models, to deploying services;
• Motivation and eagerness to learn from more experienced teammates.

Nice-to-Have

• Participation in hackathons, open-source contributions, or side projects;
• Knowledge of Python and its main ML packages (pandas, scikit-learn, mlflow,...);
• Experience with data pipelines or distributed data systems (e.g., Spark, Airflow).