Austin-based AWS AI/ML Engineer - Build Production ML

Artifintech; Austin (TX); Presencial; USD 91.000 - 124.000; Jornada completa

Descripción de la vacante

Artifintech in Austin, TX is seeking an experienced 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 secure deployment and monitoring—with close collaboration across data scientists, platform, and security teams.

You will partner with data scientists, platform, and security teams to ensure scalable, cost-efficient ML solutions, maintain model registries, feature stores, and runbooks for on-call

Formación

• 4+ years of experience in AI/ML and cloud platform engineering with AWS.
• Strong AWS ML services (SageMaker, Bedrock) and cloud infra (EC2, S3, IAM, VPC).
• Experience building CI/CD pipelines for ML and infrastructure-as-code (Terraform preferred).
• Understanding of ML lifecycle: tracking, versioning, serving, monitoring.
• Python proficiency and containerization (Docker, Kubernetes).
• Security best practices for ML systems (IAM, encryption, audits).

Responsabilidades

• Design and maintain end-to-end ML pipelines on AWS (SageMaker, Bedrock, ECS, Lambda, Step Functions) for training, evaluation, deployment and inference.
• Implement infrastructure-as-code (Terraform/CloudFormation) and CI/CD pipelines for ML workloads, including model packaging, versioning, and promotion across environments.
• Build robust model monitoring, drift detection, logging, and insights (CloudWatch, SageMaker Model Monitor, custom metrics).
• Optimize cost, performance, and reliability of training and inference workloads (spot instances, multi-instance training, autoscaling, endpoints).
• Establish secure AI/ML practices: least-privilege IAM, KMS encryption, network isolation, secret management, and compliance controls for model artifacts and data.

Conocimientos

AI/ML

AWS

CI/CD

Python

Security

Docker

Kubernetes

Herramientas

Terraform

GitHub Actions

CodePipeline

Docker

Kubernetes

CloudWatch

Descripción del empleo

Artifintech in Austin, TX is seeking an experienced 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 secure deployment and monitoring—with close collaboration across data scientists, platform, and security teams.

You will partner with data scientists, platform, and security teams to ensure scalable, cost-efficient ML solutions, maintain model registries, feature stores, and runbooks for on-call