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DevOps Engineer - Artificial Intelligence/Machine Learning Solutions

8 years

0 Lacs

sahibzada ajit singh nagar punjab india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

devops learning design ai ml azure model training automate provisioning configuration security compliance governance resolve architecture engineering openai data programming .net python mlflow terraform kubernetes server linux unix integration certifications

Work Mode

On-site

Job Type

Full Time

Job Description

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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