AI/ML Engineer — Production Pipelines on AWS

Ethereum Technologies LLC; Austin (TX); On-site; USD 95,000 - 136,000; Full time

Job summary

Ethereum Technologies is seeking an experienced AI/ML Engineer to design, build, and operate production-grade machine learning systems on AWS. You will own the full ML lifecycle—from experiment tracking and model training to secure, scalable deployment, monitoring, and continuous improvement—collaborating with data scientists, platform, and security teams.

You will design end-to-end ML pipelines, implement IaC and CI/CD for ML workloads, and ensure robust monitoring, drift detection, and cost

Qualifications

• 4+ years of AI/ML and cloud platform engineering with hands-on AWS
• Experience with AWS ML services and infrastructure tooling

Responsibilities

• Design end-to-end ML pipelines on AWS (SageMaker, Bedrock, ECS, Lambda, Step Functions)
• Implement infrastructure-as-code and CI/CD pipelines for ML workloads
• Build model monitoring, logging, and drift detection
• Optimize cost, performance, and reliability of training/inference
• Maintain model registries, feature stores, and experiment tracking
• Document architecture and runbooks, participate in on-call rotation

Skills

AI/ML

Python

AWS

CI/CD

Docker

Kubernetes

Tools

SageMaker

Bedrock

Terraform

CloudWatch

ECS/EKS

Job description

Ethereum Technologies is seeking an experienced AI/ML Engineer to design, build, and operate production-grade machine learning systems on AWS. You will own the full ML lifecycle—from experiment tracking and model training to secure, scalable deployment, monitoring, and continuous improvement—collaborating with data scientists, platform, and security teams.

You will design end-to-end ML pipelines, implement IaC and CI/CD for ML workloads, and ensure robust monitoring, drift detection, and cost