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Benefits offered by this job
Unlimited time off
Flexible working
Comprehensive health benefits
401(k) with company match
Equity option plan
Health and wellness spending
Team summits
Job summary
A leading payments technology firm in New York seeks an experienced professional to architect scalable ML systems for fraud detection. The role requires over 5 years of production ML experience and proficiency in Python and frameworks like PyTorch and TensorFlow. Ideal candidates thrive in fast-paced environments and possess strong skills in statistical modeling and anomaly detection. This position offers unlimited vacation, flexible working arrangements, and comprehensive health benefits.
Qualifications
5+ years of experience building ML systems in production.
Experience in fraud, risk, or anomaly detection domains.
Ability to work autonomously and manage ambiguity.
Responsibilities
Architect and build scalable ML systems for fraud detection.
Develop and maintain end-to-end ML pipelines.
Collaborate closely with engineers and data scientists.
Skills
Machine Learning
Fraud detection
Python
Statistical modeling
Anomaly detection
Education
Degree in Computer Science or related field
Tools
PyTorch
TensorFlow
scikit-learn
Job description
A leading payments technology firm in New York seeks an experienced professional to architect scalable ML systems for fraud detection. The role requires over 5 years of production ML experience and proficiency in Python and frameworks like PyTorch and TensorFlow. Ideal candidates thrive in fast-paced environments and possess strong skills in statistical modeling and anomaly detection. This position offers unlimited vacation, flexible working arrangements, and comprehensive health benefits.