We are looking for a Dynamic Targeting AI/ML Engineer with 48 years of experience to design, build, and operationalize production-grade ML pipelines across global markets. The role focuses on developing standardized, reusable workflows using Dataiku DSS, Python, containerized environments, and modern MLOps practices.

Key Responsibilities :

- Design and maintain Dataiku DSS projects across DEV/PROD environments.

- Build and deploy scalable Python-based ML pipelines.

- Containerize ML workloads (Docker) for reproducibility and cross-market consistency.

- Implement model lifecycle management including versioning, monitoring, and QA validation.

- Enable localization and parameterization of ML pipelines for multiple markets.

- Contribute to Git-based workflows, CI/CD pipelines, and code quality standards.

- Collaborate with data science, product, and platform teams to ensure reliable model deployment.

Required Skills :

- Strong Python engineering for data & ML pipelines.

- Hands-on experience with Dataiku DSS.

- Experience with Docker/containerized ML execution.

- Solid understanding of MLOps, model lifecycle, and monitoring.

- Experience with Git/GitHub and CI workflows.

Preferred :

- Experience with recommendation systems or optimization models.

- Exposure to enterprise or regulated environments