MLOps Engineer: Deploy, Monitor & Scale ML Models

Placements24; Riverton (UT); On-site; USD 43,000 - 67,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Health, dental, vision insurance

Career growth in MLOps

Collaborative Upington work culture

Retirement savings plan & generous PTO

Job summary

Placements24 is seeking an AI/ML Operations (MLOps) Engineer to design, implement, and manage scalable MLOps pipelines for CI/CD and deployment of ML models in production. The role bridges data science and operations, ensuring reliable model operation and automated lifecycle tasks.

You will work with AWS/Azure/GCP, Docker, Kubernetes, and ML frameworks like TensorFlow and PyTorch to monitor performance, detect drift, and drive retraining. A strong software/DevOps background is essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, DevOps, or MLOps.
• Strong experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Proficiency in scripting languages such as Python.
• Experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLflow, Kubeflow).
• Solid understanding of CI/CD principles and infrastructure as code.

Responsibilities

• Design, implement, and manage MLOps pipelines for CI/CD and deployment of ML models.
• Develop and maintain infrastructure for training, testing, and serving ML models in production.
• Implement monitoring to track model performance, drift, and retraining triggers.
• Automate operational tasks related to ML model lifecycle management.
• Collaborate with data scientists and software engineers to ensure smooth deployment and integration of ML solutions.
• Troubleshoot and resolve issues related to ML model performance and operational stability.

Skills

Python

CI/CD

MLOps

Cloud platforms

Docker

Kubernetes

ML frameworks

TensorFlow

PyTorch

Kubeflow

Education

Bachelor's or Master's degree in CS/Engineering/related field

Tools

Docker

Kubernetes

MLflow

Kubeflow

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Placements24 is seeking an AI/ML Operations (MLOps) Engineer to design, implement, and manage scalable MLOps pipelines for CI/CD and deployment of ML models in production. The role bridges data science and operations, ensuring reliable model operation and automated lifecycle tasks.

You will work with AWS/Azure/GCP, Docker, Kubernetes, and ML frameworks like TensorFlow and PyTorch to monitor performance, detect drift, and drive retraining. A strong software/DevOps background is essential.