DevOps Engineer

4 weeks ago

Sahibzada Ajit Singh Nagar, India Techrbm Full time

Responsibilities :

- Design and implement scalable AI/ML solutions on Azure, focusing on GenAI and Cognitive Services.

- Develop and manage MLOps pipelines for model training, validation, and deployment.

- Automate infrastructure provisioning and configuration using IaC (ARM, Bicep, Terraform).

- Ensure security, compliance, and governance standards are met in all AI/ML solutions.

- Collaborate with cross-functional teams to integrate AI into various applications.

- Troubleshoot and resolve issues related to AI/ML infrastructure and deployments.

- Stay updated with the latest advancements in AI/ML and cloud technologies.

Qualifications :

- 8 - 12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design.


- Strong expertise in Azure AI services : Cognitive Services, Azure ML, Azure OpenAI, Synapse,

Data Lake, Bot Services.

- Hands-on programming in .NET/C# or Python (must-have).

- Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow).

- Proficiency in CI/CD, IaC (ARM, Bicep, Terraform), and Kubernetes/AKS.

- Expertise in Windows Server (primary) and Linux/Unix (secondary) environments.

- Familiarity with data engineering pipelines and AI integration patterns.

- Knowledge of Responsible AI, security, compliance, and governance frameworks.

- Bonus : Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI & Certifications :


- Bachelors/Masters in Computer Science, IT, or related field.

- Preferred Certifications :

- Microsoft Certified : Azure Solutions Architect Expert

- Microsoft Certified : Azure AI Engineer Associate

- Microsoft Certified : Azure Data Scientist Associate

- Kubernetes CKA/CKAD, Terraform Associate

(ref:hirist.tech)

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