Software Engineers Python / Devops

The team addresses many use cases for Data Science, involving a variety of Machine Learning and AI technologies. For example:

• Scoring the risk of business failure with Machine Learning models
• Extracting information from images and documents with Transformers and LLMs
• Identifying companies with a custom search engine using embeddings
• Building and mining knowledge graphs
• Financial modeling and simulations

The Data Lab's work includes solid Software Engineering practices to achieve operational integrations in internal tools and client applications. The technology stack is mainly based on Python but also includes ReactJS and Java. It covers data extractions from the company’s databases and management of CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, Apache Airflow, and in the Cloud.

The team continuously delivers several projects, with short development lifecycles...