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Azure Devops Engineer- Gen AI

4-8 Years
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  • Posted a day ago
  • Over 100 applicants
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Job Description

We are seeking a skilled Azure DevOps Engineer with expertise in Generative AI (Gen AI). The ideal candidate will have a strong background in implementing DevOps practices on the Azure platform, with a focus on CI/CD pipelines and infrastructure as code. This role is crucial for supporting our Gen AI initiatives and ensuring robust, scalable, and efficient deployment environments.

Roles & Responsibilities

  • Implement and manage Azure DevOps solutions, with a focus on Gen AI.
  • Utilize Infrastructure as Code (IaC) tools like Terraform and ARM templates to automate infrastructure provisioning.
  • Design and maintain CI/CD pipelines using tools such as Jenkins, GitHub, and Azure Pipelines.
  • Work with containerization technologies including Docker and Kubernetes.
  • Collaborate with data science teams to deploy and manage models on Azure Machine Learning and AKS (Azure Kubernetes Service).

Required Skills

  • Proven experience with Azure DevOps and Gen AI concepts.
  • Expertise in Terraform and ARM templates.
  • Strong knowledge of CI/CD pipelines, GitHub, and Azure Pipelines.
  • Hands-on experience with Docker and Kubernetes.
  • Familiarity with Azure Machine Learning and AKS.

Additional Information

  • Salary:
  • Up to 20 LPA for 4-5 years of experience.
  • Up to 35 LPA for 5-7 years of experience.
  • Email: [Confidential Information]

More Info

Job Type:
Function:
Employment Type:
Open to candidates from:
Indian

About Company

We would like to introduce our consultancy IMAGINATORS- TRY GOING BEYOND, that has been into recruitments for the past 19 years. We have been an established and popular consultancy with an excellent track record for the best customer service in IT (Sap, Jawa, Full Stack, Cloud Success, Application Developer, Data Analyst, IT Consultant, Network Engineer, MS O365), KPO, BPO, INSURANCE, TRAVEL, EDUCATIONAL & BANKING SECTOR. We cater to both International and Domestic Players in the market.

Job ID: 124298163