AFX Holding Group

Machine Learning Engineer

• Own and expand the model portfolio
• Drive the ML engineering process from idea to production
• Define success metrics and evaluation frameworks for each model
• Productionize ML models
• Take experiments to production with real-time inference, monitoring, retraining pipelines, and phased rollouts with feature flags and guardrails
• Build and evaluate classifiers with rigorous offline and online methods
• Design feature engineering pipelines across repair orders, shop performance, fleet behavior, vehicle attributes, and cost benchmarks
• Own model evaluation including cross validation, XAI, confidence calibration, bias detection, A/B testing, and shadow mode comparison against human decisions

QA Engineer

• Test Planning & Execution: Decompose product requirements into comprehensive test cases, ensuring full coverage of business and technical needs.
• Strategic Testing: Leverage a risk-based approach to determine the optimal balance between manual and automated testing, ensuring a strong focus on user experience, performance, and system reliability.
• Debugging & Troubleshooting: Investigate issues by analyzing logs, debugging applications, and identifying root causes of failures.
• Database Querying: Write and execute SQL queries to validate data integrity and troubleshoot backend issues.
• Automation & CI/CD Alignment: Make informed decisions on what, when, and how to automate, balancing efficiency with development speed.
• Defect Management: Identify, document, and track defects, working closely with developers to resolve issues efficiently.
• Collaboration & Mentoring: Work within a Scrum team, sharing QA best practices and helping teammates improve testing strategies.