DevOps Engineer

2 weeks ago


Mohali, Punjab, India TechRBM Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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

)


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