MLOps Engineer – Production ML Pipelines & Governance

Ampcus Inc; Scottsdale (AZ); On-site; USD 120,000 - 160,000; Full time

Job summary

Ampcus Inc. in Scottsdale, AZ, is seeking a skilled MLOps Engineer for a long-term onsite role to design, deploy, and manage scalable ML pipelines in production.

You will focus on reliable, automated, and governable ML systems integrated into enterprise tech stacks. Responsibilities include building CI/CD for ML models, automating monitoring and retraining, collaborating with Data Scientists and Data Engineers, and ensuring scalable, secure ML deployments.

Qualifications

• Proficient Python programming
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Familiar with data pipelines and ETL processes

Responsibilities

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

Job description

Ampcus Inc. in Scottsdale, AZ, is seeking a skilled MLOps Engineer for a long-term onsite role to design, deploy, and manage scalable ML pipelines in production.

You will focus on reliable, automated, and governable ML systems integrated into enterprise tech stacks. Responsibilities include building CI/CD for ML models, automating monitoring and retraining, collaborating with Data Scientists and Data Engineers, and ensuring scalable, secure ML deployments.