Build shared Payments ML infrastructure such as a centralized Payments Feature Store; Build and deploy deep learning architectures and feature embeddings for Payment entities such as merchant, issuer, or customer; Design and architect generalizable ML workflows for rapid expansion of existing ML solutions; Experiment with advanced ML solutions in the industry and ideate on product applications
Requirements:
At least 5 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production; Advanced degree in a quantitative field (e.g. computer science, statistics, physics, …); Proficient in Python, Scala, Spark
Text:
Machine Learning Engineer, Payments ML Accelerator Build shared Payments ML infrastructure such as a centralized Payments Feature Store; Build and deploy deep learning architectures and feature embeddings for Payment entities such as merchant, issuer, or customer; Design and architect generalizable ML workflows for rapid expansion of existing ML solutions; Experiment with advanced ML solutions in the industry and ideate on product applications At least 5 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production; Advanced degree in a quantitative field (e.g. computer science, statistics, physics, …); Proficient in Python, Scala, Spark
Please click here, if the job didn't load correctly.
Please wait. You are being redirected to the job in 3 seconds.
