AI/ML Engineer - Automotive CRM

NCC • Bettendorf, IA

3d

About The Position

We are seeking an experienced AI/ML Engineer to design and deploy intelligent systems that enhance dealer workflows and unlock insights from dealership data.
This role will focus on building data-driven systems that improve decision-making, optimize processes, and surface meaningful insights across our automotive SaaS platform. The ideal candidate combines strong software engineering fundamentals with experience developing AI/ML-driven solutions in production environments.
This is a hands-on engineering role working at the intersection of intelligent systems, enterprise SaaS, and data-driven decision support

Why This Role Matters
This role will help embed intelligent decision support directly into our automotive SaaS platform — improving operational efficiency, increasing consistency across workflows, and unlocking greater value from dealership data.
The Machine Learning Engineer will play a central role in shaping how intelligence is integrated into the next generation of our platform.

Requirements

• 8+ years of software engineering experience
• 2+ years building and deploying AI/ML systems in production environments, with strong experience in Python-based data and ML development preferred
• Experience working with structured data and predictive or decision-support systems
• Experience deploying cloud-based services (AWS preferred)
• Understanding of secure API design and enterprise application architecture
• An engineer who can move from concept to deployed solution
• Strong problem-solving skills in data-driven environments
• Ability to translate business objectives into intelligent systems
• Ability to work independently, take initiative, and drive projects from concept through deployment
• Comfortable working cross-functionally with product and leadership
• High ownership mindset and pragmatic decision-making

Nice To Haves

• Experience in fintech, lending, automotive retail, or other regulated environments
• Experience building risk scoring, fraud detection, or optimization systems
• Familiarity with LLM integration or knowledge retrieval systems
• Understanding of model explainability and monitoring concepts
• Experience working with CRM or financial transaction platforms

Responsibilities

• Design and implement data-driven systems that enhance decision-making across dealer workflows
• Develop predictive or optimization logic using structured dealership data
• Translate business objectives into scalable intelligent services
• Improve consistency, accuracy, and efficiency in operational processes
• Ensure solutions are explainable, reliable, and aligned with enterprise and regulatory expectations
• Build systems that extract insights from structured dealership data (CRM, DMS, transactional records)
• Implement knowledge retrieval or search capabilities across policies and documentation where appropriate
• Collaborate with product teams to surface actionable intelligence within dashboards and workflows
• Design and deploy containerized AI services within AWS (ECS/Fargate)
• Integrate intelligent services into existing APIs and application workflows
• Monitor system performance, reliability, and integrity
• Ensure data security, auditability, and compliance alignment

Benefits

• Competitive pay
• Unlimited PTO
• Comprehensive benefits package, including health, dental, and vision insurance.
• 401(k) plan with company match.
• Professional development opportunities and continuous training.
• A supportive and dynamic work environment with opportunities for growth and advancement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed