MLOps Engineer (AWS Environment)

🔧 What Youll Do:

• Design and implement end-to-end MLOps pipelines using Terraform, CloudFormation, and Git workflows

• Manage and optimize AWS-based environments for model training, deployment, and monitoring

• Collaborate with Data Scientists and DevOps to ensure reproducibility, scalability, and security

• Automate CI/CD processes for ML models and data workflows

• Monitor pipeline performance and troubleshoot bottlenecks across environments

🧠 What Were Looking For:

• Proven experience building MLOps pipelines in AWS

• Strong hands-on skills with Terraform, CloudFormation, and Git

• Familiarity with containerization (Docker), orchestration (ECS/EKS), and ML lifecycle tools

• Ability to work independently and communicate clearly across technical and non-technical teams

• Bonus: Experience with MLflow, SageMaker, or Kubeflow

Lets build something extraordinary—modular, scalable, and human-centered

Information :

• Company : Xquisite AI
• Position : MLOps Engineer (AWS Environment)
• Location : Jakarta Selatan
• Country : ID