AI/ML Cloud Engineer — AWS, SageMaker & IaC

Compunnel Inc.; Jersey City (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

Compunnel, Inc. in Jersey City is seeking an AWS DevOps Engineer to design, develop, and implement cloud infrastructure solutions on AWS, with a focus on AI/ML workloads.

You will build scalable environments, automate provisioning with IaC (CloudFormation, Terraform), and ensure security and compliance while optimizing performance and cost for AI/ML pipelines.

Responsibilities

• Design, develop, and implement cloud infrastructure solutions on AWS with a focus on AI/ML workloads.
• Build and manage scalable environments using Amazon SageMaker for model training, deployment, and lifecycle management.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as CloudFormation and Terraform.
• Ensure infrastructure solutions adhere to applicable security and compliance standards.
• Collaborate with data science and DevOps teams to optimize the performance, cost, and scalability of AI/ML pipelines in the cloud.

Job description

Job Summary
We are seeking an AWS DevOps Engineer to design, develop, and implement cloud infrastructure solutions on AWS, with a focus on supporting AI/ML workloads. The role will build and manage scalable cloud environments, automate infrastructure provisioning, and collaborate with cross-functional teams to optimize the performance, cost, scalability, security, and compliance of AI/ML pipelines.

Key Responsibilities
• Design, develop, and implement cloud infrastructure solutions on AWS with a focus on AI/ML workloads.
• Build and manage scalable environments using Amazon SageMaker for model training, deployment, and lifecycle management.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as CloudFormation and Terraform.
• Ensure infrastructure solutions adhere to applicable security and compliance standards.
• Collaborate with data science and DevOps teams to optimize the performance, cost, and scalability of AI/ML pipelines in the cloud.