AWS AI/ML Engineer: Production ML Pipelines

Valiant Technologies LLC; Austin (TX); On-site; USD 89,000 - 126,000; Full time

Job summary

Valiant Technologies LLC in Austin, TX is seeking an experienced AWS AI/ML Engineer to design, build, and operate production-grade ML systems on AWS. You will own the full ML lifecycle—from experiment tracking and model training to secure, scalable deployment, monitoring, and continuous improvement.

You will collaborate with data scientists and platform security teams to implement cost-efficient pipelines, model monitoring, drift detection, and robust IAM and encryption controls, while

Qualifications

• 4+ years of AI/ML and cloud platform engineering with hands-on AWS.
• Strong proficiency with AWS ML services and infrastructure (SageMaker, Bedrock, EC2, ECS/EKS, S3, IAM, VPC, CloudWatch, Lambda, Step Functions).
• Experience building and operating CI/CD pipelines for ML and infrastructure-as-code (Terraform preferred).

Responsibilities

• Design end-to-end ML pipelines on AWS (SageMaker, Bedrock, ECS) for training and deployment.
• Implement infra-as-code and CI/CD pipelines for ML workloads.
• Build model monitoring, drift detection, and logging solutions.
• Optimize cost and performance of training and inference.
• Ensure secure AI/ML practices and access controls.
• Collaborate with data scientists to productionize models.
• Maintain model registries and artifact lineage.
• Document architecture and participate in on-call rotation.

Skills

AWS

Python

CI/CD

Terraform

SageMaker

Bedrock

Kubernetes

IAM

Tools

Docker

CloudWatch

GitHub Actions

Terraform

Job description

Valiant Technologies LLC in Austin, TX is seeking an experienced AWS AI/ML Engineer to design, build, and operate production-grade ML systems on AWS. You will own the full ML lifecycle—from experiment tracking and model training to secure, scalable deployment, monitoring, and continuous improvement.

You will collaborate with data scientists and platform security teams to implement cost-efficient pipelines, model monitoring, drift detection, and robust IAM and encryption controls, while