Machine learning Engineer

Atlanta, GA 30334

Hybrid

Web Cam Interview Only

Tax Terms: C2C, W2 and 1099.

Responsibilities:

• Deploy machine learning models on cloud platforms (AWS, GCP, Azure)
• Build and maintain ML pipelines using Airflow or Kubeflow
• Track experiments and manage ML lifecycle with tools like mlflow and TensorBoard
• Ensure model explainability, monitoring, and optimization for deployment
• Implement secure deployment practices using Docker and Kubernetes
  
  
  

Requirements:

• Strong Python and Spark skills
• Experience with cloud platforms and ML services (SageMaker, etc.)
• Proficient in data visualization (Matplotlib, Seaborn, Tableau)
• Familiar with CI/CD tools (Jenkins) and version control (Git)
• Knowledge of secure cloud environments and best practices