MLOps Engineer I
Core
Build scalable systems for training, deploying, and monitoring machine learning models used in real-time fraud detection and payment optimization.
Role type
MLOps Engineer I
Builds
Scalable ML systems and feature stores for the Payments Performance stack
Domain
Fintech / Payments
Deliverable
production ML models
Required skills
Python, production ML models, MLOps practices, system monitoring and observability, cloud application development
Preferred skills
ML frameworks (scikit-learn, xgboost, TensorFlow, PyTorch, Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon, Triton)
Technologies
AWS, scikit-learn, xgboost, TensorFlow, PyTorch, Spark, Databricks, SageMaker, Vertex AI, Kubeflow, Seldon, Triton
Responsibilities
Build systems for training, deploying, and monitoring ML models; Scale feature stores for complex online and offline use-cases; Deliver end-to-end features with full ownership
Seniority
Individual Contributor (IC), entry-level
