AI/ML Infrastructure Specialist

2 days ago


Bengaluru, Karnataka, India beBeeDevops Full time US$ 1,60,000 - US$ 2,00,000
Senior DevOps Engineer - AI/ML Infrastructure

We are seeking a seasoned Senior DevOps Engineer to build and maintain the production infrastructure for our enterprise-scale AI automation platform.

  • Critical Responsibilities:
  • Design and implement end-to-end CI/CD pipelines for AI applications, encompassing model deployment and agent workflows.
  • Create and maintain Kubernetes clusters optimized for AI workloads, including GPU resource management.
  • Implement comprehensive monitoring and observability for AI systems, featuring custom metrics for model performance.
  • Develop infrastructure-as-code solutions for scalable AI service deployments.
  • Establish reliability engineering practices, including SLA management and incident response for AI systems.
  • Optimize cloud infrastructure costs with a focus on GPU utilization and LLM API usage.
  • Implement security and compliance frameworks for AI applications and data pipelines.
  • Collaborate with development teams to ensure production readiness of AI agents and RAG systems.
  • Manage multi-cloud deployments and vendor integrations for AI services.


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