MLOps - ML Engineer

Senior ML Engineer / Lead ML Engineer -  MLOps exp Must   
Charlotte, NC - Day 1 Onsite - Hybrid role 
Long-Term Contract

Key Requirements:

• 12+ years of IT experience with strong expertise in Machine Learning Engineering, MLOps, model deployment, and productionizing ML solutions in cloud environments.
• Hands-on experience building and managing end-to-end MLOps pipelines using tools such as MLflow, Kubeflow, SageMaker, Databricks, Docker, Kubernetes, and CI/CD platforms.
• Strong programming skills in Python with experience in model monitoring, governance, automation, performance optimization, and scalable ML infrastructure.
• Experience working with AWS/Azure cloud platforms, collaborating with Data Scientists, Data Engineers, and business teams to deploy and support enterprise ML/AI solutions.