About this role
Global is seeking a Machine Learning Engineer to bridge the gap between data science and production. You will be responsible for making machine learning models robust, scalable, and maintainable across various applications, including audience targeting and content intelligence. This role offers the opportunity to own the production lifecycle of models and contribute to shaping future platform direction.
What we are looking for 6
- Productionize, serve, and manage the lifecycle of machine learning models
- Build and maintain scalable serving infrastructure for batch and real-time use cases
- Develop and enforce engineering standards for model deployment and MLOps
- Collaborate with Data Science, MLOps, and Product teams
- Strong Python skills with experience in ML frameworks
- Experience with model evaluation, monitoring, and orchestration tools