AI Site Reliability Engineer

New

Skills

AI/ML Frameworks CI/CD Pipelines Cloud Computing Communication Skills Containerization Monitoring Tools Problem Solving Remote Collaboration Scripting Site Reliability Engineering

As a Site Reliability Engineer specializing in AI, you will be responsible for monitoring and managing AI workloads within a remote environment. Your primary focus will be on ensuring system stability and enhancing operational excellence for AI-driven systems.

Key Responsibilities
  • Monitor AI workloads to ensure system performance and reliability.
  • Implement and maintain infrastructure for AI applications.
  • Optimize AI systems for scalability and efficiency.
  • Collaborate with AI development teams to enhance system integration.
  • Develop and maintain monitoring tools and dashboards for AI systems.
Required Skills & Qualifications
  • Strong experience in site reliability engineering.
  • Proficiency in cloud platforms (AWS, GCP, Azure).
  • Familiarity with AI/ML frameworks (TensorFlow, PyTorch).
  • Experience with containerization (Docker, Kubernetes).
  • Knowledge of monitoring and logging tools (Prometheus, Grafana).
  • Strong scripting skills (Python, Bash).
  • Understanding of CI/CD pipelines.
  • Excellent problem-solving skills.
  • Ability to work in a remote team environment.
  • Strong communication and collaboration skills.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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