We are looking for a Senior Machine Learning Engineer to work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch), Experimentation platform and tools.
Responsibilities
- 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