Hi
Hope you are doing well
Please find the job description below and let me know your interest.
Position: DevOps Engineer (AI/ML Platform)
Location: Spring TX (Local Only)
Duration: 6 Months
Job Description
DevOps Engineer with 3 5 years of experience specializing in AI/ML platforms responsible for building and managing CI/CD pipelines cloud infrastructure and containerized environments. The role focuses on enabling scalable secure and reliable deployment of AI/ML applications using Terraform Azure/AWS Kubernetes and modern DevOps practices.
Must-Have Skills - CI/CD tools: Azure DevOps GitHub Actions Ansible
- Infrastructure as Code: Terraform (primary)
- Cloud Platforms: Azure & AWS
- Containers & Orchestration: Docker Kubernetes (AKS/OpenShift)
- Scripting: PowerShell (must) Python (basic)
- Monitoring/Observability: Datadog Azure Monitor App Insights
- Security: RBAC secrets management vulnerability scanning
- Windows Server (strong) Linux (basic)
- DevOps lifecycle production support
Good-to-Have Skills - AI/ML lifecycle understanding (MLflow Azure ML)
- Model versioning packaging deployment pipelines
- Data engineering basics (batch/streaming pipelines)
- GPU-based deployments & optimization
- Enterprise/regulated environment experience
- Artifact repositories (JFrog etc.)
Please share your updated resume and the best number & time to connect with you Thanks & Regards
Hi Hope you are doing well Please find the job description below and let me know your interest. Position: DevOps Engineer (AI/ML Platform) Location: Spring TX (Local Only) Duration: 6 Months Job Description DevOps Engineer with 3 5 years of experience specializing in AI/ML platforms respons...
Hi
Hope you are doing well
Please find the job description below and let me know your interest.
Position: DevOps Engineer (AI/ML Platform)
Location: Spring TX (Local Only)
Duration: 6 Months
Job Description
DevOps Engineer with 3 5 years of experience specializing in AI/ML platforms responsible for building and managing CI/CD pipelines cloud infrastructure and containerized environments. The role focuses on enabling scalable secure and reliable deployment of AI/ML applications using Terraform Azure/AWS Kubernetes and modern DevOps practices.
Must-Have Skills - CI/CD tools: Azure DevOps GitHub Actions Ansible
- Infrastructure as Code: Terraform (primary)
- Cloud Platforms: Azure & AWS
- Containers & Orchestration: Docker Kubernetes (AKS/OpenShift)
- Scripting: PowerShell (must) Python (basic)
- Monitoring/Observability: Datadog Azure Monitor App Insights
- Security: RBAC secrets management vulnerability scanning
- Windows Server (strong) Linux (basic)
- DevOps lifecycle production support
Good-to-Have Skills - AI/ML lifecycle understanding (MLflow Azure ML)
- Model versioning packaging deployment pipelines
- Data engineering basics (batch/streaming pipelines)
- GPU-based deployments & optimization
- Enterprise/regulated environment experience
- Artifact repositories (JFrog etc.)
Please share your updated resume and the best number & time to connect with you Thanks & Regards
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