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 ...