Job Description
We are looking for an ML 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
- Collaborate with cross‑functional teams to help deploy and 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
- 5+ years of experience as a Machine Learning ...