MLOps Engineer – AWS AI Platform & Production ML

Insight Global; San Diego (CA); On-site; USD 120,000 - 165,000; Full time

Job summary

Insight Global is seeking an experienced MLOps Engineer to build, deploy, and support production ML infrastructure on AWS. You will partner with Data Scientists, Cloud Engineers, and application teams to productionize models, automate deployment pipelines, and establish monitoring, observability, governance, and FinOps best practices.

The role focuses on hands-on engineering to create scalable, reliable ML platforms, enabling AI solutions to move efficiently from development into production

Qualifications

• 3–5+ years of experience in AWS Cloud Engineering, DevOps, Platform Engineering, or MLOps.
• Hands-on experience building and deploying ML pipelines in AWS using SageMaker, Lambda, S3, and Step Functions.
• 1+ year supporting production ML systems, including monitoring, troubleshooting, retraining, and operational support.
• Strong Python development experience.
• Experience building and supporting CI/CD pipelines.
• Infrastructure‑as‑Code with Terraform, CloudFormation, or AWS CDK.
• Experience partnering with Data Scientists to productionize ML models.
• Strong ML lifecycle knowledge: deployment, monitoring, observability, retraining, and production support.
• Experience with Amazon Bedrock, Docker, Kubernetes/ECS/EKS, and ML observability tools.
• Experience with feature stores and model governance in regulated environments (insurance/healthcare/financial services).

Responsibilities

• Build and deploy production ML infrastructure on AWS.
• Collaborate with Data Scientists, Cloud Engineers, and applications teams to productionize models.
• Automate deployment pipelines and establish monitoring, observability, governance, and FinOps standards.
• Develop scalable, reliable ML platforms to move AI solutions from development to production.

Skills

Python development

CI/CD pipelines

MLOps

Cloud engineering

ML lifecycle knowledge

Collaboration with Data Scientists

Tools

AWS SageMaker

Terraform

CloudFormation

AWS CDK

Docker

Kubernetes

ECS

EKS

Bedrock

ML observability tools

Feature stores

Model governance frameworks

S3

Lambda

Step Functions

Job description

Insight Global is seeking an experienced MLOps Engineer to build, deploy, and support production ML infrastructure on AWS. You will partner with Data Scientists, Cloud Engineers, and application teams to productionize models, automate deployment pipelines, and establish monitoring, observability, governance, and FinOps best practices.

The role focuses on hands-on engineering to create scalable, reliable ML platforms, enabling AI solutions to move efficiently from development into production