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ASM Tech Solutions Linkedin · Posted 29d ago

Devops Engineer with AI

Chicago, Illinois, United States

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Indexed description

A DevOps Engineer with AI is commonly called an AI DevOps Engineer, MLOps Engineer, or DevOps Engineer – AI/ML Platforms, depending on the responsibilities.

Chicago IL

Client: Cognizant

Hybrid

Life Science or Pharma domain

Key Skills

  • DevOps: CI/CD, Jenkins, GitHub Actions, GitLab CI, Azure DevOps
  • Cloud: AWS, Azure, GCP
  • Containers: Docker, Kubernetes, OpenShift
  • IaC: Terraform, Ansible, CloudFormation
  • AI/ML: MLOps, MLflow, Kubeflow, SageMaker, Azure ML
  • AI/GenAI: LLMs, Generative AI, model deployment, inference
  • Programming: Python, Bash, PowerShell
  • Monitoring: Prometheus, Grafana, ELK, Datadog
  • AI Operations: Model monitoring, automated retraining, model versioning, GPU infrastructure

Typical role: Build and automate the infrastructure, CI/CD pipelines, deployment, scaling, monitoring, and lifecycle management for AI/ML and Generative AI applications.

A DevOps Engineer with AI is commonly called an AI DevOps Engineer, MLOps Engineer, or DevOps Engineer – AI/ML Platforms, depending on the responsibilities.

Key Skills

  • DevOps: CI/CD, Jenkins, GitHub Actions, GitLab CI, Azure DevOps
  • Cloud: AWS, Azure, GCP
  • Containers: Docker, Kubernetes, OpenShift
  • IaC: Terraform, Ansible, CloudFormation
  • AI/ML: MLOps, MLflow, Kubeflow, SageMaker, Azure ML
  • AI/GenAI: LLMs, Generative AI, model deployment, inference
  • Programming: Python, Bash, PowerShell
  • Monitoring: Prometheus, Grafana, ELK, Datadog
  • AI Operations: Model monitoring, automated retraining, model versioning, GPU infrastructure

Typical role: Build and automate the infrastructure, CI/CD pipelines, deployment, scaling, monitoring, and lifecycle management for AI/ML and Generative AI applications.
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