Senior AI/ML Engineer

Job Summary

Required Qualifications

• •5+ years experience in advanced analytics, machine learning, analytics engineering, or similar highly analytical role
• •Degree in a quantitative field (e.g., Economics, Statistics, Computer Science, Engineering, Mathematics, Information Systems, Analytics)
• •Strong experience with Python
• •Strong experience with AWS services including S3, SageMaker, and Bedrock
• •Strong experience with AI engineering tooling (LangChain, LangGraph, and LangSmith)
• •Strong experience with RAG systems including vector databases (PGVector)
• •Advanced SQL knowledge to query data warehouses, including knowledge of CTEs and window functions
• •Expertise in building, deploying and maintaining machine learning models in production
• •Proven track record leading the development and delivery of advanced, actionable Data Science, Machine Learning / AI products and services, including creating predictive models that serve as a foundation for new product offerings
• •Ability to identify and assess key opportunity areas where data science can enhance and improve existing products by increasing the efficiency of processes and accuracy of model/analytical results
• •Strong analytical mind toward breaking down business questions with data answers
• •Excellent organization, communication, and presentation skills, with the ability to bring clarity to complexity and communicate customer needs, architectural requirements, and product goals across cross-functional teams
• •Ability to translate highly complex processes for non-technical audiences
• •Team player with proven ability to educate team members
• •Self-starter who thrives in an entrepreneurial, fast-paced environment with a demonstrated capacity to lead, motivate, and work well with others
• •Experience supporting and working with cross-functional teams in a dynamic environment
• •Confident in decision-making and able to explain processes or choices as needed
• •Candidates for this role will be based in the United States and work remotely
• •Employment is contingent upon the successful completion of a background check in accordance with the applicable federal, state, and local laws

Desired Qualifications

• •Champion a data-driven and customer-focused culture
• •Maintain and scale the primary recommendation system for the core product
• •Maintenance, implementation, and optimization of natural language AI tools including customer service chatbots for multiple brands
• •Solve complex problems using advanced ML, AI, and mathematical modeling and optimization techniques with involvement in the whole lifecycle, including but not limited to pre-processing, feature engineering, problem formulation, algorithmic selection/evaluation, modeling, hyper-parameter tuning, and model deployment
• •Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
• •Mine and analyze data from company databases to optimize and improve product development, marketing techniques, and business strategies
• •Design, develop, and implement production-level code. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results), and production deployment
• •Serve as a subject matter expert in data, advanced analytics, and visualization within Roadpass Digital, ensuring accurate interpretation of core business metrics, data models, and reports
• •Coordinate with different functional teams to implement models and monitor outcomes
• •Ensure the delivery of high-quality data products
• •Identify, design, and implement internal process improvements