ML Engineer | SageMaker & MLOps Expert

Dexian; Charlotte (NC); On-site; Full time

Job summary

A leading staffing and IT solutions provider is looking for a Machine Learning Engineer with at least 3 years of experience in the field. The ideal candidate should have strong Python skills and hands-on experience with AWS SageMaker for model training and deployment. Familiarity with MLOps tools such as Docker, Kubernetes, and CI/CD practices is essential. This is a great opportunity to join a company that is driving innovation in staffing solutions and connecting talent with technology.

Qualifications

• 3+ years of experience in machine learning engineering, MLOps, or a related role.
• Strong proficiency in Python and common ML/data libraries (e.g., pandas, numpy).
• Hands-on experience with AWS SageMaker for model training, tuning, and deployment.
• Solid understanding of machine learning concepts, data science methodologies, and statistical analysis.
• Experience with MLOps tools and practices, including Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.

Skills

Machine learning engineering

MLOps

Python

AWS SageMaker

Docker

Kubernetes

CI/CD pipelines

Terraform

CloudFormation

Job description

A leading staffing and IT solutions provider is looking for a Machine Learning Engineer with at least 3 years of experience in the field. The ideal candidate should have strong Python skills and hands-on experience with AWS SageMaker for model training and deployment. Familiarity with MLOps tools such as Docker, Kubernetes, and CI/CD practices is essential. This is a great opportunity to join a company that is driving innovation in staffing solutions and connecting talent with technology.