Job Title: AWS INFRASTRUCTURE ENGINEER / AI
Location: Mclean,VA
Duration: 12 Months
Visa: USC, GC, H1B and EAD
Contract Type: W2
Job Summary
We are looking for an AWS Infrastructure Engineer with AI experience to design, deploy, and operate scalable cloud infrastructure that supports AI/ML platforms and data-driven applications. This role sits at the intersection of cloud engineering, DevOps, and MLOps, enabling teams to reliably train, deploy, and scale machine learning models on AWS.
Responsibilities
- Design and manage AWS cloud infrastructure for AI/ML workloads
- Build and maintain Infrastructure as Code using Terraform or CloudFormation
- Support model training, inference, and data pipelines
- Deploy and operate containerized workloads using Docker, EKS, or ECS
- Implement CI/CD pipelines for infrastructure and ML systems
- Optimize systems for cost, performance, and reliability
- Enforce security best practices (IAM, networking, encryption)
- Monitor, log, and troubleshoot production environments
- Collaborate with ML engineers, data scientists, and software teams
Required Qualifications
- Strong experience with AWS services (EC2, EKS/ECS, S3, RDS, VPC, IAM, Lambda)
- Hands-on experience supporting AI/ML platforms (SageMaker, EKS-based ML stacks, or similar)
- Experience with Terraform or other IaC tools
- Knowledge of Docker and Kubernetes
- Scripting skills (Python, Bash)
- Solid understanding of cloud security and networking