NEWPosted 9 hours ago

Job ID: JOB_ID_11144

Job Summary

We are seeking an experienced Azure Administrator with strong AI/ML platform exposure to manage, optimize, and support cloud infrastructure and machine learning environments on Microsoft Azure. The ideal candidate will have hands-on experience with Azure Machine Learning, MLOps, and cloud infrastructure management, ensuring scalable, secure, and high-performing AI solutions.

Key Responsibilities

Azure Infrastructure Administration

  • Manage and administer Azure cloud environments including VMs, storage, networking, and security
  • Deploy, monitor, and maintain Azure resources ensuring high availability and performance
  • Implement cost optimization, governance, and resource tagging strategies
  • Configure and manage Azure Active Directory (AAD), RBAC, and policies

AI/ML Platform Management

  • Support and manage Azure Machine Learning (AML) workspaces, compute instances, and pipelines
  • Enable model deployment, monitoring, and lifecycle management (MLOps)
  • Work with Azure AI services, Cognitive Services, and OpenAI integrations
  • Manage ML compute resources and environments for training and inference workloads
  • Implement monitoring, logging, and alerting for ML workloads
  • Azure provides dedicated roles like AI Administrator with full control over ML and AI services, including compute, storage, and monitoring integrations

DevOps & Automation

  • Implement CI/CD pipelines for ML models and infrastructure (Azure DevOps/GitHub Actions)
  • Automate deployments using ARM templates, Bicep, or Terraform
  • Manage containerized workloads using Docker & Kubernetes (AKS)

Security & Compliance

  • Ensure cloud security best practices, including identity management and network security
  • Implement data protection, encryption, and compliance policies
  • Perform vulnerability assessments and remediate risks

Monitoring & Performance Optimization

  • Use Azure Monitor, Log Analytics, and Application Insights
  • Monitor system health, troubleshoot issues, and optimize performance
  • Ensure SLA adherence and uptime for production systems

Collaboration

  • Work closely with Data Scientists, ML Engineers, and DevOps teams
  • Support model deployment, experimentation, and production scaling
  • Participate in architecture discussions and solution design

Required Skills

Azure Core

  • Azure VMs, Networking (VNet, NSG, Load Balancer), Storage
  • Azure Active Directory (AAD), RBAC
  • Azure Monitor, Log Analytics

AI/ML & Data

  • Azure Machine Learning (AML)
  • MLOps concepts (model deployment, monitoring, retraining)
  • Experience with Python, ML frameworks (TensorFlow/PyTorch basic understanding)

DevOps & Automation

  • Azure DevOps / GitHub Actions
  • Infrastructure as Code (Terraform / ARM / Bicep)
  • Containers (Docker, Kubernetes/AKS)

Preferred Qualifications

  • Azure Certifications (AZ-104, AZ-400, AI-102, DP-100)
  • Experience with Azure OpenAI / Cognitive Services
  • Knowledge of data platforms (Azure Data Factory, Synapse, Databricks)
  • Experience with event-driven architectures and microservices

Soft Skills

  • Strong problem-solving and troubleshooting ability
  • Excellent communication and collaboration skills
  • Ability to work in fast-paced, production environments

Nice to Have

  • Experience with GenAI / LLM deployment on Azure
  • Exposure to GPU-based ML workloads
  • Knowledge of data governance and model explainability

Special Requirements

Only local candidate who can take F2F Interview.

Compensation & Location

Salary: $100,000 – $150,000 per year

Location: Burlington, MA

Recruiter / Company – Contact Information

Recruiter / Employer: Valzo Soft Solutions

Email: manish@valzosoft.com

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