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AI/ML Infrastructure Specialist

3 weeks ago

Bengaluru, Karnataka, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 25,00,000

Senior DevOps Leader Job Description

We are seeking a seasoned Senior DevOps professional to drive the deployment, monitoring, and scaling of AI/ML models and infrastructure.

This role requires a strong foundation in DevOps tools, containerization, and cloud platforms, as well as experience with MLOps tools and scripting languages.

Key Responsibilities:

  • Deploy AI/ML models in production environments, ensuring scalability, reliability, and performance.
  • Manage and maintain infrastructure for AI/ML workloads, including containerization and orchestration using Docker and Kubernetes.
  • Implement monitoring and logging solutions using Prometheus, Grafana, and ELK Stack to ensure visibility into AI/ML systems.
  • Develop and manage CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps to automate testing, deployment, and scaling of AI/ML models.
  • Integrate MLOps tools such as MLflow, Kubeflow, and Azure ML into existing infrastructure to streamline AI/ML workflows.
  • Manage cloud platforms, including Azure (preferred), AWS, and GCP, to ensure scalability and reliability of AI/ML solutions.
  • Develop scripts and automation tools using Python, Bash, and PowerShell to streamline AI/ML workflows and infrastructure management.

Requirements:

  • Total Experience: 4-7 years of experience in DevOps, cloud engineering, or related fields.
  • Relevant Experience: 5 years of experience in DevOps, with a focus on containerization, orchestration, and cloud platforms.

Primary Skills:

  • DevOps Tools: Jenkins, GitHub Actions, Azure DevOps, Terraform
  • Containerization & Orchestration: Docker, Kubernetes
  • Monitoring & Logging: Prometheus, Grafana, ELK Stack

Secondary Skills:

  • MLOps Tools: MLflow, Kubeflow, Azure ML, SageMaker
  • Cloud Platforms: Azure (preferred), AWS, GCP
  • Scripting & Automation: Python, Bash, PowerShell