Austin-based AI/ML Engineer — Production ML on AWS

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

Job summary

Robotic Technologies Automation in Austin, TX is seeking an AI/ML Engineer to design and operate production-grade ML systems on AWS. You will own the complete lifecycle from experimentation to deployment, monitoring, and continuous improvement, partnering with data scientists, platform, and security teams.

The role requires 4+ years in AI/ML and deep AWS experience, Python, Docker and Kubernetes, and strong CI/CD and IaC skills. On-site, competitive compensation.

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).
• Proficiency in Python and experience with containerization (Docker, Kubernetes/EKS/ECS).
• Familiarity with security best practices for ML systems (IAM least privilege, encryption, network controls, audit logging).

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 and versioning.
• Build model monitoring, drift detection, logging, and ing solutions.
• Optimize cost, performance, and reliability of training and inference workloads.
• Establish secure AI/ML practices and access controls for artifacts and data.
• Collaborate with data scientists to produce production grade models and improve reproducibility.
• Maintain model registries, feature stores, experiment tracking, and artifact lineage.
• Document architecture and runbooks; participate in on‑call rotation for production ML systems.

Skills

AI/ML experience

Cloud engineering

AWS

Python

CI/CD

Security basics

Tools

Docker

Kubernetes

Terraform

CloudFormation

SageMaker

Job description

Robotic Technologies Automation in Austin, TX is seeking an AI/ML Engineer to design and operate production-grade ML systems on AWS. You will own the complete lifecycle from experimentation to deployment, monitoring, and continuous improvement, partnering with data scientists, platform, and security teams.

The role requires 4+ years in AI/ML and deep AWS experience, Python, Docker and Kubernetes, and strong CI/CD and IaC skills. On-site, competitive compensation.