[Hiring] AI/ML Engineer @NCC

Role Description

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.

What You’ll Do

• Intelligent Decision & Optimization Systems
  • 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.
• Data & Knowledge Systems
  • 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.
• Model Deployment & Integration
  • 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.

Qualifications

• 5+ 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.

Preferred Qualifications

• 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.

What We’re Looking For

• 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.

Core Values

• One Team: We are transparent, collaborative, and aligned.
• Customer Obsessed: We are a partner, not a vendor.
• Forward Focused: We challenge ourselves and the norm to innovate continuously.
• Act Now: We don’t put off to tomorrow what we can do today.
• Results Driven: We act with purpose to deliver value for our clients and our company.

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.

Texting Privacy Policy and Information

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