Machine Learning Engineer 5
Core
Build and scale massive multi-tenant platforms for training and serving large footprint ML models in real-time to guide customers through their credit journey.
Role type
Senior IC machine learning engineer (infrastructure & MLOps)
Builds
Production ML decisioning systems, multi-tenant training/serving platforms, and optimized data pipelines for credit lifecycle management.
Domain
Financial services / Credit decisioning / Distributed Systems
Deliverable
production ML models
Required skills
Python, Kubernetes, PyTorch, TensorFlow, Spark, Ray, AWS/GCP/Azure, CI/CD, Model Monitoring, Hyperparameter Tuning, Data Pipeline Construction
Preferred skills
Scala/Java, Reinforcement Learning, Transformer Architectures, Blue/Green Deployment, Incident Response Planning, Open Source Contributions
Technologies
Kubernetes, Spark, Ray, PyTorch, TensorFlow, AWS, GCP, Azure, Python, Scala, Java
Responsibilities
Design and build ML models and components solving business problems; Build and scale multi-tenant platforms for ML training and serving; Inform infrastructure decisions using ML modeling techniques; Write code, validate models, and automate tests/deployment; Retrain, maintain, and monitor production models; Construct optimized data pipelines for ML models; Implement CI/CD best practices for ML deployment.
Seniority
Senior, hands-on IC
