MLOPS Engineer

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 a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Role : MLOps Engineer

Location : Scottsdale AZ (Onsite)

Contract : Long Term

We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governance.

Key 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 best practices for governance, compliance, and reproducibility

Key Skills & Expertise

• Strong programming skills in Python
• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn
• Hands-on experience with MLOps tools: MLflow, Kubeflow, Airflow, SageMaker, Azure ML
• Knowledge of CI/CD tools: Jenkins, GitHub Actions, GitLab CI
• Experience with cloud platforms: AWS
• Strong understanding of data pipelines, ETL processes, and distributed systems

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.