Data Scientist/AI Engineer Digital Marketing

Project overview

Context

The mission is part of the Data Scientist/AI Engineer team, in direct connection with the digital marketing department located at CDG. The candidate will be an extension of the team to connect business needs with technical developments. The team consists of 5 people and works in an international environment shared between Amstelveen (KLM Headquarters) and Paris (Air France Headquarters).

Missions

Tools & Environment

Working Conditions

Additional Information

• Understand business needs and represent the team to the digital marketing department at CDG.
• Develop, implement, and maintain machine learning models for anomaly detection, destination recommendations, etc.
• Design, research, and implement the entire ML pipeline, from retraining to deployment and monitoring of models.
• Continuously monitor and improve ML models in production, ensuring low-latency deployments and adherence to internal standards.
• Work within the Google Cloud Platform (GCP) ecosystem, notably using BigQuery and the VertexAI suite for model development and deployment.
• Use Terraform for infrastructure-as-code, Docker for containerization, and Github Actions for CI/CD pipelines, to ensure robust and scalable solutions.
• Participate in regular agile ceremonies (stand-ups, refinement sessions, etc.).
• Work on both new topics and ensure the continuity of existing projects.
• Google Cloud Platform (GCP): BigQuery, Cloud Run, VertexAI
• Terraform (infrastructure-as-code)
• Docker (containerization)
• Github Actions (CI/CD)
• Git, Unix shell, REST APIs
• Python (production code, CI/CD, tests, optimization)
• Estimated duration: early October 2026, long-term mission (> 1 year)
• Location: CDG (with possible flexibility TLS, VLB, France, Morocco, India)
• On-site presence: 2 days per week, occasionally 3 days
• Work mode: hybrid, with flexibility between remote work and office presence
• Business travel: possible to AMS, CDG, VLB or TLS
• Time zone to respect: France
• Language: mastery of English is crucial (daily work, meetings, documentation, presentations)
• Approximately 90% of time dedicated to innovation, 10% to continuity
• Autonomy and rigor are differentiating factors
• Main challenge: understanding a new business domain

Project details

• Start: flexible
• Remote: hybrid
• Location: Tremblay-en-France, France, FR
• Languages: French