Please submit ONLY Genuine candidates with valid visa status, genuine project experience, and hands-on MLOps expertise. Kindly share the candidate's updated resume, LinkedIn profile, complete visa details, and current location. Please do not share general Data Scientist or AI/ML profiles unless they have strong, recent, hands-on MLOps experience.
ML Engineer / Lead ML Engineer - MLOps is Must
Charlotte, NC (Hybrid)
Long-Term Contract
Key Requirements:
- 10+ 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 .
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