Machine Learning Engineer

We are assisting a leading cloud consulting firm specializing in cloud-native development, data and AI modernization, and secure cloud operations. As a Machine Learning Engineer, you’ll design, implement, and optimize end-to-end ML pipelines using AWS SageMaker, MLflow, and GitLab CI/CD.

Requirements

• Strong hands-on experience with AWS SageMaker, including Studio and Feature Store
• Proficiency with MLflow and solid understanding of artifact tracking and model versioning
• Fluent in Python, with experience building modular and scalable ML training pipelines
• Familiar with GitLab CI/CD, Terraform, and Terragrunt
• Strong grasp of model monitoring, including data capture, bias/drift detection, and production metrics