Risk ML Engineer

Job Description

As part of Risk team you will work
as part of a team responsible for the Model development, testing and entire
model life cycle management sustaining of a key component of the Risk models. We
are looking for a savvy ML Engineer to join our growing
team of Machine Learning platform experts, expected to have
experience working with AWS Sagemaker and ETL tools.

Job Requirements

• Demonstrated
  experience with Machine Learning end to end workflows, from Data
  extraction, Analysis, Model creation/evaluation/deployment in Sagemaker.
• Strong
  knowledge of feature engineering and hands on experience on Feature store
  of Sagemaker.
• Strong
  programming skills in Python and experience with python ML packages.
• Strong
  knowledge of ML frameworks (preferably AWS Sagemaker)
• Experience
  with Docker and containerization + orchestration (Kubernetes).
• Incorporate
  ML into existing development workflows & tools, and look for
  opportunities to apply ML to new areas of development and testing
• Understanding CICD best practices and experience with Gitlab, Nexus
  repository.

·       
Ability to identify and solve issues
concerning data management and data quality

·       
Strong understanding of data structures,
algorithms, and data solutions

·       
Experience in building cloud, scalable,
real-time, and high-performance data solutions