Senior AI/ML Engineer (REMOTE)

📋 Job Overview

Senior AI/ML Engineer (REMOTE) - Roadpass Digital revolutionizes road-based travel and outdoor tourism through innovative products and services. We aim to empower travelers who love exploring the outdoors and are always ready for their next adventure. Our brands include Roadtrippers and Campendium.

🏢 About Roadpass Digital

Roadpass Digital revolutionizes road-based travel and outdoor tourism through innovative products and services. We aim to empower travelers who love exploring the outdoors and are always ready for their next adventure. Our brands include Roadtrippers and Campendium. We value our people and are committed to creating a healthy and fun culture for our team.

🎯 The Role

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative engineering to ship intelligent, product-driven solutions. This role partners with product, design, and engineering teams to turn advanced models and analytics into features that deliver real user value.

✅ Key Responsibilities

• 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.
• 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.
• Serve as a subject matter expert in data, advanced analytics, and visualization within Roadpass Digital.
• 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.

📌 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.
• Ability to identify and assess key opportunity areas where data science can enhance and improve existing products.
• Strong analytical mind toward breaking down business questions with data answers.
• Excellent organization, communication, and presentation skills.
• 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.
• 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.

🎁 Benefits

Flexible Time Off & 16 Company Paid Holidays: We believe this is a partnership. We trust our employees to build their own time-off schedules and encourage our teams to take time for their well-being. Collaborative & Inclusive Culture: Our employees work in small, self-organized, and cross-functional teams that determine the best tactics to support the vision and strategy.

🛂 Visa & Eligibility

Candidates for this role will be based in the United States and work remotely.