Machine Learning Lead Engineer

Job Summary

Leading applied ML initiatives, the full-time Machine Learning Lead Engineer will design agentic workflows for data generation and evaluation, focusing on anti-fraud solutions while working remotely.

Key responsibilities

• Design and deploy workflows for data generation and evaluation in anti-fraud and safety use cases
• Build automated evaluation pipelines and grading systems to ensure consistency and quality at scale
• Collaborate with Delivery Leads and client teams to translate business requirements into actionable ML designs

Required qualifications

• 5-8+ years of experience in applied ML and LLM development with a proven track record in production
• Strong background in building anti-fraud platforms or real-time anomaly detection frameworks
• Experience in creating automated evaluation pipelines and quality assurance systems
• Proficiency in Python and hands-on engineering with the ability to tune agents and prompts
• Demonstrated ability to optimize manual operations for improved throughput and margins