Roadpass Digital

Machine Learning Engineer

• Maintain and scale the primary recommendation system for the core product
• Maintain, implement, and optimize natural language AI tools, including customer service chatbots for multiple brands
• Solve complex problems using advanced ML, AI, mathematical modeling, and optimization techniques
• Manage the full machine learning lifecycle, including preprocessing, feature engineering, problem formulation, algorithm selection and evaluation, modeling, hyperparameter tuning, and model deployment
• Use predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other business outcomes
• Mine and analyze company database data to improve product development, marketing techniques, and business strategies
• Design, develop, and implement production-level code
• Own the full development cycle, including design, development, impact assessment, A/B testing, result interpretation, and production deployment
• Serve as a subject matter expert in data, advanced analytics, and visualization
• Ensure accurate interpretation of business metrics, data models, and reports
• Coordinate with functional teams to implement models and monitor outcomes
• Ensure delivery of high-quality data products
• Identify, design, and implement internal process improvements
• Champion a data-driven and customer-focused culture

Senior AI/ML Engineer