Staff Engineer, Machine Learning & Data Infrastructure
Core
Lead architecture and hands-on development of ML and data infrastructure for risk and fraud prevention systems, moving models from experimentation to reliable production services.
Role type
Staff Engineer, ML & Data Infrastructure
Builds
Scalable data foundations, model serving infrastructure, and offline/online feature pipelines for real-time risk decisions.
Domain
Fintech / Cryptocurrency / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Distributed systems architecture, ML lifecycle management, Databricks, Apache Spark, Python, SQL, Backend/Systems languages (Java/Scala/Go/C++)
Preferred skills
Inference optimization (ONNX/TensorRT/Triton), Feature stores, Kafka, Flink, Delta Lake, MLflow, SageMaker, Alibaba Cloud PAI/EAS
Technologies
Databricks, Apache Spark, Python, SQL, Java, Scala, Go, C++, ONNX Runtime, TensorRT, Triton, Kafka, Flink, Delta Lake, MLflow, SageMaker, Alibaba Cloud PAI/EAS
Responsibilities
Optimize model inference latency, throughput, and cost; Build reusable infrastructure for model packaging, versioning, and deployment; Design and optimize offline data pipelines; Connect offline and online feature pipelines; Evolve feature services and data integrations; Set technical direction and mentor engineers.
Seniority
Staff, hands-on IC with technical leadership
