LLM Operations Manager

2 weeks ago

Bangalore, India Resource Tree Global Services Full time

Job Title: LLM Operations Manager

About the Role:
At Resource Tree Global Services, we are seeking a highly skilled LLM Operations Manager to join our team. This is a leadership position that requires a strong understanding of AI/ML, GenAI, and LLM operations.

Responsibilities:
• Define and disseminate LLMOps best practices
• Evaluate and compare different LLMOps tools to incorporate the best practices
• Collaborate with architects, engineers, data-scientists, and SMEs to design, implement and oversee the infrastructure requirement for the efficient operation of LLM use-cases in production
• Develop and maintain CI/CD pipelines for prompts deployment and updates
• Perform Metrics collection, Performance measurement and feedback analysis of LLM use-cases in production systems
• Monitor and report the cost for LLM use-cases in production systems
• Identify and resolve any bottlenecks in production LLM use-cases, including Prompt optimization/tuning
• Ensure the security of LLM operations through comprehensive risk assessments and the implementation of robust security measures

Requirements:
• Overall, 5 to 10 years of experience in AI/ML, with at least 1 year in GenAI and LLM operations
• Proven experience in productionizing the GenAI projects by applying best LLMOps practices
• Proven experience in LLM monitoring and observability
• Practical experience working with LLM models and associated techniques, as well as the tools and frameworks used to implement them, like Langfuse (tool), Langchain (framework), RAG (technique)
• Excellent knowledge of prompt writing and prompt management
• Good python coding skills
• Excellent presentation and communication skills while interacting with both technical and non-technical stakeholders
• Motivation to learn new things to stay on top of the GenAI trends by keeping pace with industry advancements in LLM technologies and operational methodologies
• Resilience and the ability to thrive in a dynamic, fast-paced work environment

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