Senior Software Engineer, Machine Learning Platform
Core
Build and scale the machine learning platform powering risk decisioning, including model training infrastructure, serving systems, and MLOps workflows for fraud detection.
Role type
Senior IC machine learning platform engineer (MLOps/Infrastructure)
Builds
Production ML workflows, model training execution engines, and risk decisioning infrastructure
Domain
Fintech / Global Payments / Risk Management
Deliverable
production ML models
Required skills
Python, Java, C++, PyTorch, TensorFlow, JAX, Kubernetes, Ray, Kubeflow Pipelines, Airflow, GPU architecture, distributed orchestration
Preferred skills
LLMs, model acceleration frameworks, NVIDIA Nsight Systems, AWS, GCP, large-scale low-latency infrastructure
Responsibilities
Design reliable data and model infrastructure, productionise machine learning workflows, improve experimentation speed and quality, partner with ML engineers and risk specialists to solve fraud problems
Seniority
Senior, hands-on IC
