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LLMOps Engineer-Remote

Roles & Responsibilities

  • Experience developing, deploying, and managing large language models on Microsoft Azure (Azure Machine Learning, Azure Kubernetes Service, and Azure DevOps)
  • Solid understanding of LLMOPS guardrails implementation practices
  • Proficiency in Python for scripting and automation
  • Experience with Terraform for infrastructure deployment and management

Requirements:

  • Provide operational support for LLMs, including incident management, ongoing model maintenance, and user support
  • Monitor and maintain GenAI solutions, including performance, user interactions, and efficacy monitoring
  • Implement and uphold LLMOPS guardrails, including bias audits and other guardrail checks
  • Collaborate with development teams to optimize code beyond basic break-fixes

Job description


Job Title: LLMOps Engineer (Large Language Models Operations Engineer)

Location: Remote

Duration: 11-12 months

Rate: DOE

Key Responsibilities:

  • Provide operational support for Large Language Models (LLM), including incident management, ongoing model management and maintenance, and user support.
  • Monitor and maintain GenAI solutions, including performance monitoring, user interaction monitoring, and efficacy monitoring.
  • Implement and uphold LLMOPS guardrails, ensuring adherence to best practices and implementation standards.
  • Conduct bias audits and other guardrail checks for implemented GenAI solutions.
  • Support code management, including proactive code optimization beyond basic break-fixes.

Core Skills Required:

  • Strong experience in developing, deploying, and managing large language models, specifically on Microsoft Azure.
  • Proven expertise in Azure cloud platforms and services, including Azure Machine Learning, Azure Kubernetes Service, and Azure DevOps.
  • Solid understanding of LLMOPS guardrails implementation practices.
  • Proficiency in Python for scripting and automation.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Job Duties:

  • LLM Operations Support:

    • Manage incidents related to LLM, ensuring timely resolution and minimal impact on operations.
    • Continuously manage and maintain LLM models to ensure optimal performance and reliability.
    • Provide user support, including troubleshooting and resolving user inquiries related to LLM.
  • GenAI Solutions Monitoring and Maintenance:

    • Monitor performance metrics of GenAI solutions and take proactive measures to optimize performance.
    • Monitor user interactions with GenAI solutions to identify potential improvements or issues.
    • Monitor the efficacy of GenAI solutions, ensuring they meet predefined performance benchmarks.
  • Guardrails Implementation and Monitoring:

    • Implement and enforce guardrails for LLMOPS to maintain operational integrity and compliance.
    • Conduct bias audits and other guardrail checks to ensure ethical and responsible use of AI solutions.
  • Code Management Support:

    • Collaborate with development teams to optimize code beyond basic break-fixes, focusing on proactive improvements and efficiencies.

Additional Requirements:

  • Experience with Terraform for infrastructure deployment and management is essential.
  • Familiarity with CI/CD pipelines and version control systems.
  • Ability to work independently and as part of a remote team, demonstrating strong initiative and problem-solving skills.

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