Job Description
We are looking for a ML Engineer to work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch), Experimentation platform and tools.
This role has the responsabilities to:
- Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
- Collaborating with cross-functional teams to help deploy/integrate machine learning models.
- Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio.
- Optimize feature extraction, transformation and selection.
- Work with and manage.
- Feature Stores for reusability across ML pipelines.
- Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
- Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Requirements
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