Machine Learning Engineer

• Design and implement robust Python services and libraries to power real-time fraud detection and compliance monitoring systems.
• Build scalable batch and streaming data pipelines for feature building, model inference, and training, with strong guarantees for data quality, latency, and reliability.
• Develop and operate a developer-friendly ML platform, including feature stores, data validation tooling, and model-training pipelines with automated quality checks.
• Support ML model lifecycle management — from feature engineering and experimentation to deployment, monitoring, and performance tuning.
• Manage and optimize real-time data infrastructure, leveraging technologies such as Kafka, Apache Flink, and Kubernetes/Nomad.
• Work closely with experienced Python and Rust engineers, data scientists, and business stakeholders.
• Mentor junior engineers, foster best practices, and help shape a strong engineering culture.
• Stay current with MLOps, AI infrastructure, and data engineering trends, bringing innovative solutions into production.
• Take end-to-end ownership of systems and services, ensuring scalability, maintainability, and security.

Senior AI/ML Engineer

Senior Machine Learning Platform/Ops Engineer, Remote

Senior Machine Learning Platform/Ops Engineer

Product Co-Founder – Competitive Intelligence AI Platform

Senior Machine Learning Platform/Ops Engineer