Job Description
Role Overview
We are seeking a
AI/ML Engineer
to build, scale, and operate production‑grade machine learning pipelines supporting Dynamic Targeting across global markets.
This role focuses on engineering standardized, reusable ML workflows using
Dataiku DSS , containerized execution environments, and modern MLOps practices. The engineer will work closely with data scientists, product, and platform teams to enable repeatable localization, automated QA, and reliable deployment of Dynamic Targeting models.
Key Responsibilities (Technical)
Engineer and maintain
Dataiku
projects across DEV/PROD, following standardized patterns for Dynamic Targeting pipelines.
Build and operationalize
Python‑based ML pipelines , converting analytical logic into reusable, production‑ready components.
Package and run ML workloads using
containerized environments
to ensure reproducibility across markets and environme...
We are seeking a
AI/ML Engineer
to build, scale, and operate production‑grade machine learning pipelines supporting Dynamic Targeting across global markets.
This role focuses on engineering standardized, reusable ML workflows using
Dataiku DSS , containerized execution environments, and modern MLOps practices. The engineer will work closely with data scientists, product, and platform teams to enable repeatable localization, automated QA, and reliable deployment of Dynamic Targeting models.
Key Responsibilities (Technical)
Engineer and maintain
Dataiku
projects across DEV/PROD, following standardized patterns for Dynamic Targeting pipelines.
Build and operationalize
Python‑based ML pipelines , converting analytical logic into reusable, production‑ready components.
Package and run ML workloads using
containerized environments
to ensure reproducibility across markets and environme...
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