Ncc/promax

Who We Are: NCC/Promax is a leader in providing cutting‐edge software solutions for the automotive industry. Our software helps dealerships streamline their operations, enhance their finance and insurance (F&I) processes, and drive profitability. OVERVIEW: 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. What You'll Do: 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. What You'll Have: 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.

What We Offer: 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. We are an equal employment opportunity employer and a drug‐free workplace. #J-18808-Ljbffr