AI/ML Engineer – AWS & MLOps Specialist (Austin)

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

Job summary

Quantum Technologies. LLC 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. Key responsibilities include designing end-to-end ML pipelines on AWS, implementing infrastructure-as-code, building robust monitoring,

Qualifications

• 4+ years of experience in 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 (CodePipeline, GitHub Actions, GitLab CI, or equivalent) and infrastructure-as-code (Terraform preferred).
• Solid understanding of ML lifecycle concepts: experiment tracking, model versioning, serving patterns (real-time, batch, streaming).

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

Skills

AI/ML experience

Python

Cloud experience

CI/CD for ML

Tools

SageMaker

Bedrock

EC2

ECS/EKS

S3

Terraform

CloudFormation

CI/CD tools

Kubernetes

Docker

Job description

Quantum Technologies. LLC 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. Key responsibilities include designing end-to-end ML pipelines on AWS, implementing infrastructure-as-code, building robust monitoring,