MLOps AI Engineer

ML Ops AI Engineer 
Location: Coppell, TX (Onsite role)
Duration:  3-6 Month Contract to hire

Description:

• 3–5 years of experience in MLOps, ML platform, or ML/AI infrastructure engineering.
• Proven track record deploying and operating models in production.
• Experience with cloud environments (Azure) and GPU compute.
• Strong containerization and orchestration skills (Docker, Kubernetes).
• Experience building CI/CD workflows for ML or software systems.
• Hands-on experience with experiment tracking and model versioning (e.g. MLflow).
• Experience building dashboards, drift detection, and production monitoring.
• Strong Python skills and familiarity with infrastructure-as-code and automation.