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鈥檚 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 and operational deployments of impacting solutions. For example:
- APIs that leverage our data for major international accounts
- Web scraping and open data sourcing in all geographies
- Data processing pipelines to feed Machine Learning models and AI solutions
- User Interfaces to expose AI-powered solutions developed by the team
Your mission:
- You work in pairs or small teams on innovative projects to design and develop solutions deployed on our container infrastructures or in the cloud, and implement production monitoring
- You participate in code reviews with other team members to share knowledge and ensure the quality of developments
- You propose technical solutions and participate in technology watch.