MLOPS Engineer

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. 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.