AWS AI/ML Engineer - Production ML on SageMaker

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

Job summary

Ethereum Technologies in Austin, TX is seeking an 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 to deployment—while partnering with data scientists, platform, and security teams.

The role emphasizes scalable, secure pipelines, cost optimization, and on-call duties. This 8-month engagement may extend, with opportunities to work across SageMaker, Bedrock, and associated AWS services.

Qualifications

• 4+ years in AI/ML and cloud engineering with significant hands-on AWS experience.
• Proficient in AWS ML services (SageMaker, Bedrock).
• Experience building CI/CD pipelines for ML and infrastructure-as-code (Terraform, CloudFormation).
• Strong Python and containerization (Docker, Kubernetes).
• Knowledge of ML lifecycle concepts, monitoring, and security best practices.

Responsibilities

• Design 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 and versioning.
• Build robust monitoring, drift detection, logging, and observability solutions.
• Optimize cost, performance, and reliability of training and inference workloads.
• Establish secure ML practices: least-privilege IAM, encryption, network controls, secret management.
• Collaborate with data scientists to produce production-grade models and improve reproducibility.
• Maintain model registries, feature stores, experiment tracking, and artifact lineage.
• Document architecture, runbooks, and operational procedures; participate in on-call rotation.

Skills

Python programming

CI/CD for ML

Containerization

Security best practices

Tools

SageMaker

Bedrock

EC2

ECS/EKS

S3

IAM

VPC

CloudWatch

Lambda

Step Functions

Terraform

CloudFormation

Job description

Ethereum Technologies in Austin, TX is seeking an 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 to deployment—while partnering with data scientists, platform, and security teams.

The role emphasizes scalable, secure pipelines, cost optimization, and on-call duties. This 8-month engagement may extend, with opportunities to work across SageMaker, Bedrock, and associated AWS services.