MLOps Engineer - AI Infra, AWS & Gen AI Deployments

Chefman; Mahwah (NJ); Hybrid; USD 115,000 - 150,000; Full time

Job summary

Chefman is seeking a highly detail-oriented MLOps / DevOps Engineer to design, implement, and maintain scalable AWS cloud infrastructure for AI and software deployments. You will work closely with the Machine Learning Engineer to establish tools, workflows, and infrastructure for AI development and deployment across Generative AI initiatives, including AWS Bedrock and LLMs.

The role focuses on automation, process improvement, and building scalable systems to enable faster, reliable AI-powered

Qualifications

• 5+ years of experience in MLOps/DevOps or related roles.
• Strong hands-on experience with AWS services and cloud-native architecture.
• Experience building AI/machine learning platforms in AWS environments.

Responsibilities

• Design, implement, and maintain scalable AWS cloud infrastructure.
• Create and manage MLOps infrastructure for model training, deployment, monitoring, and lifecycle management.
• Build and maintain CI/CD pipelines enabling rapid deployments.
• Develop IaC using Terraform for repeatable, secure environments.
• Implement monitoring, logging, and observability across platforms.

Skills

AWS

Terraform

Docker

Kubernetes

CI/CD

Python

Bash

Monitoring

Observability

Troubleshooting

Automation

Communication

Tools

Terraform

Docker

Kubernetes

AWS Bedrock

LLMs

Job description

Chefman is seeking a highly detail-oriented MLOps / DevOps Engineer to design, implement, and maintain scalable AWS cloud infrastructure for AI and software deployments. You will work closely with the Machine Learning Engineer to establish tools, workflows, and infrastructure for AI development and deployment across Generative AI initiatives, including AWS Bedrock and LLMs.

The role focuses on automation, process improvement, and building scalable systems to enable faster, reliable AI-powered