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# Senior AI/ML Engineer (Python)

- **Company:** Kelly Services Inc.
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Software Quality, Python (Programming Language), Machine Learning, Fastapi, Machine Learning Operations, Software Version Control
- **Published:** October 23, 2026
- **Apply:** https://www.beyondcharlotte.com/job.asp?id=3466590697&tx=FR7774FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Strong professional experience building production Python applications
 * Hands-on AI/ML background (model development, integration, or deployment)
 * Solid software engineering fundamentals - testing, version control, code quality
 * Ability to work onsite in Wilmington, NC (5 days; 2-day hybrid available for longer commutes)

Nice to Have

 * Experience in fintech, trading, quantitative finance, or commodity markets
 * Background in applied mathematics, physics, or a quantitative discipline
 * Familiarity with cloud platforms and model-serving/MLOps infrastructure
 * Benefits - Medical Insurance - Dental Benefits - Vision Benefits - Paid Time Off (PTO) - 401(k) Match Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

## Description

* 45% - Python Engineering: Design, build, and maintain production-grade Python systems that power proprietary forecasting and market-intelligence tools.
 * 30% - AI/ML Development: Develop, integrate, and deploy AI/ML models that support commodity, real-world-asset, and financial-instrument price forecasting.
 * 15% - Collaboration & Integration: Partner with engineering, quantitative, and product stakeholders to translate complex requirements into scalable, well-architected solutions.
 * 10% - Quality & Reliability: Write testable, maintainable code and support the performance, accuracy, and reliability of deployed systems.

Tech Environment

 * Language: Python (primary)
 * Focus: AI/ML - model development, integration, and deployment
 * Domain: Commodity, real-world-asset, and financial-instrument forecasting