Machine Learning Engineer - Python, TensorFlow
Core
Building scalable machine learning tools and high-throughput computational engines to optimize modeling pipelines and process massive datasets for fraud detection and cybersecurity.
Role type
Senior IC machine learning engineer (infrastructure & tooling)
Builds
Scalable ML tools, high-throughput computational engines, production-ready artifacts
Domain
Fintech, payments, cybersecurity, fraud detection
Deliverable
production ML models | infrastructure
Required skills
Python, PySpark, Airflow, Linux, Bash, SQL, CI/CD, Databricks, Hadoop, Ray, problem-solving
Preferred skills
C++, Rust, Data Science experience, Graduate degree in CS/Data Science/ML/AI
Technologies
Airflow, Bash, CI/CD, Databricks, Hadoop, JIRA, Linux, Machine Learning, Python, PySpark, Rust, SQL
Responsibilities
Analyze current modeling pipelines to discover optimization opportunities, develop scalable ML tools for complex challenges, sustain high-throughput computational engines, support deployment of production-ready artifacts, construct reusable components to automate tasks, produce well-architected and documented artifacts
