MLOps Engineer: Build Scalable Production ML Pipelines

Ampcus, Inc; Scottsdale (AZ); On-site; USD 130,000 - 170,000; Full time

Job summary

Ampcus Inc. is seeking an experienced MLOps Engineer to design, deploy, and manage scalable ML pipelines in production at Scottsdale onsite. You will enable reliable model integration into enterprise systems with governance and automation.

In this role, you will build CI/CD for ML models, monitor performance, and collaborate with data scientists and engineers to productionize models while ensuring security and compliance across the ML lifecycle.

Qualifications

• Proficient in Python programming for ML pipelines.
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn.
• Hands-on with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML.
• Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI.
• Experience with AWS cloud platforms.

Responsibilities

• Design end-to-end ML pipelines from data ingestion to deployment.
• Build and manage CI/CD pipelines for ML models.
• Automate model monitoring, retraining, and performance optimization.
• Collaborate with Data Scientists and Data Engineers for productionizing models.
• Ensure scalability, security, and governance of ML systems.
• Manage model versioning, experiment tracking, and lifecycle management.
• Implement governance and reproducibility best practices.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Tools

MLflow

Kubeflow

Airflow

SageMaker

Azure ML

Jenkins

GitHub Actions

GitLab CI

Job description

Ampcus Inc. is seeking an experienced MLOps Engineer to design, deploy, and manage scalable ML pipelines in production at Scottsdale onsite. You will enable reliable model integration into enterprise systems with governance and automation.

In this role, you will build CI/CD for ML models, monitor performance, and collaborate with data scientists and engineers to productionize models while ensuring security and compliance across the ML lifecycle.