Job Description
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 and operational deployments of impacting solutions. For example :
APIs that leverage our data for major international accountsWeb scraping and open data sourcing in all geographiesData processing pipelines to feed Machine Learning models and AI solutionsUser Interfaces to expose AI-powered solutions developed by the teamYour 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 monitoringYou participate in code reviews with other team members to share knowledge and ensure the quality of developmentsYou propose technical solutions and participate in technology watch.Qualifications
The profile we are looking for :
Engineering degree in Software Engineering or equivalent.Minumim 2 years of demostrated experience as Software EngineerPython application development with high quality standards and implementation of best practices in code reviews and continuous integration.Knowledge of CI / CD pipelines and Docker / Kubernetes deployments.Use of SQL and NoSQL databases (MongoDB, Neo4j, ElasticSearch, Redis, etc.)Implementation of monitoring dashboards (Kibana, Grafana)Autonomy, curiosity, teamwork, and knowledge sharingEnglish and French are mandatory : interactions with teams all around the worldOther appreciated skills :
Designing high-availability, low latency application architecturesSkills in data science libraries (e.g., Pandas)Knowledge of Linux administrationCloud application deployment and infrastructure-as-codeFront-end programming (React, Angular, Vue.js, etc.)DevOpsAdditional Information
Recruitment process :
Technical interview (video), including a review of the candidate's professional background — estimated duration : 1 hourTechnical assessment in Python and DevOps without AI assistance, preferably in our offices — estimated duration : 3 hoursInterview with the human resources department — estimated duration : 45 minutesJob offerHybrid position
Remote Work Benefits
All our employees benefit from 3 days of remote work per week and a maximum monthly subsidy of €30. Employees receive vouchers worth €12 for each day of remote work.
Language Training
Depending on the type of employment contract, Coface provides employees with access to an e-learning platform dedicated to learning 6 foreign languages.
Remote Work Equipment
An equipment allowance of €350 for remote work is available to employees, depending on the type of employment contract.
Electric Bike Purchase
A contribution towards the purchase of an electric bike is available to employees, depending on the type of employment contract.