This role pays less than
91%
of similar roles. Most pay
$184,281–$254,750
— the shaded band above.
At the midpoint, this role pays about
$144k
versus about
$220k
for comparable roles.
Based on 240 similar postings.
Employer
About Early Warning Services
Early Warning Services is a fintech company that operates the Zelle person-to-person payments network, the Paze digital checkout wallet, and Certos fraud prevention and identity risk solutions for financial institutions.
Early Warning Services currently has
64 open roles
on FindRole.
Listed pay typically runs
$143,500–$183,000
across 60 roles with salary data.
Senior ML Operations Engineer
The Senior ML Operations Engineer joins the Machine Learning Operations team to build and maintain the platforms, tools, and processes required to move predictive models from development into production for real-time serving. This role involves designing scalable infrastructure and pipelines for model training, deployment, and monitoring while optimizing resource usage and orchestration processes. The engineer will collaborate with data science and engineering teams to automate productionalization, manage versioning, and develop robust monitoring systems to detect model drift. Key technical requirements include proficiency in Python, experience with AWS services, and expertise in containerization technologies like Docker and Kubernetes. Candidates should also possess skills in CI/CD practices, MLflow or Kubeflow, and distributed computing using Spark. The role focuses on solving the challenge of delivering accurate predictive modeling solutions to protect the banking system from fraud and bad actors.
Machine Learning
Operations Research
Python
SQL
Pandas
scikit-learn
XGBoost
Keras
TensorFlow
Deep Learning
Combinatorial Optimization
Mathematical Programming
Data Manipulation
Algorithms