AWS AI/ML Engineer - Production-Grade ML on SageMaker

Quantum Technologies. LLC; Austin (TX); Presencial; USD 96.000 - 124.000; Jornada completa

Descripción de la vacante

Quantum Technologies, LLC in Austin, TX is seeking an experienced AWS AI/ML Engineer for an 8-month engagement. You will design, build, and operate production-grade ML systems on AWS, owning the full lifecycle from experimentation to secure deployment and monitoring.

Collaborate with data scientists and security teams to implement scalable pipelines using SageMaker, Bedrock, ECS, and Lambda, and to implement CI/CD and IaC practices.

Formación

• 4+ years of AI/ML and cloud platform engineering with significant hands-on AWS work.
• Experience with AWS ML services (SageMaker, Bedrock) and infrastructure-as-code.
• Proficiency in Python and containerization (Docker/Kubernetes).

Responsabilidades

• Design end-to-end ML pipelines on AWS for training, evaluation, deployment, and inference.
• Implement IaC and CI/CD pipelines for ML workloads.
• Build model monitoring and logging solutions and optimize training/inference cost.
• Collaborate with data scientists and security teams to ensure reproducibility and secure deployments.

Conocimientos

Python programming

AWS cloud services

ML lifecycle

Containerization

Security best practices

Cost optimization

Herramientas

Terraform

CloudFormation

Docker

Kubernetes

SageMaker

CodePipeline

Descripción del empleo

Quantum Technologies, LLC in Austin, TX is seeking an experienced AWS AI/ML Engineer for an 8-month engagement. You will design, build, and operate production-grade ML systems on AWS, owning the full lifecycle from experimentation to secure deployment and monitoring.

Collaborate with data scientists and security teams to implement scalable pipelines using SageMaker, Bedrock, ECS, and Lambda, and to implement CI/CD and IaC practices.