AI/ML Engineer – AWS ML Ops & Production Systems

Ethereum Technologies; Austin (TX); On-site; USD 98,000 - 134,000; Full time

Job summary

Ethereum Technologies in Austin, TX is seeking an experienced 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 and monitoring.

Collaborate with data scientists and security teams to ensure reproducibility, cost efficiency, and compliant architectures. Strong cloud and Python skills, containerization, and CI/CD experience are required.

Qualifications

• 4+ years of AI/ML and cloud platform engineering with significant hands-on AWS work.
• Strong proficiency with AWS ML and infrastructure services (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).
• Proficiency in Python and containerization (Docker, Kubernetes/EKS/ECS).
• Familiarity with security best practices for ML systems.

Responsibilities

• Design and maintain end-to-end ML pipelines on AWS for training, evaluation, deployment, and inference.
• Implement infrastructure-as-code and CI/CD pipelines for ML workloads, including model packaging, versioning, and promotion across environments.
• Build robust model monitoring, drift detection, logging, and infrastructure solutions (CloudWatch, SageMaker Model Monitor, custom metrics).
• Optimize cost, performance, and reliability of training and inference workloads.
• Establish secure AI/ML practices: least-privilege IAM, KMS encryption, network isolation, secret management, and compliance controls.
• Collaborate with data scientists to produce production grade models, improve reproducibility, and reduce time-to-deployment.
• Maintain model registries, feature stores, experiment tracking, and artifact lineage.
• Document architecture, runbooks, and operational procedures; participate in on-call rotation for production ML systems.

Skills

AWS cloud

Python

CI/CD pipelines

Security best practices

Tools

Terraform

CloudFormation

SageMaker

Docker

Kubernetes

Job description

Ethereum Technologies in Austin, TX is seeking an experienced 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 and monitoring.

Collaborate with data scientists and security teams to ensure reproducibility, cost efficiency, and compliant architectures. Strong cloud and Python skills, containerization, and CI/CD experience are required.