Senior GenAI Operations Lead

1 week ago


Bengaluru, Karnataka, India Resourcetree Full time
Job Description

Company Overview: Resourcetree is a leading organization in the field of artificial intelligence and machine learning. We are committed to pushing the boundaries of innovation and excellence.

Job Summary: We are seeking an experienced Senior GenAI Operations Lead - LLM to join our team. The successful candidate will be responsible for defining and disseminating best practices for large language model operations, evaluating and comparing different tools, and collaborating with architects, engineers, data scientists, and SMEs to design and implement infrastructure requirements for efficient LLM use cases.

Responsibilities:

  • Define and disseminate LLMOps best practices for Aris Global products.
  • 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.

Salary: ₹20,00,000 - ₹40,00,000 per annum.

Benefits: We offer a competitive salary, excellent benefits package, and opportunities for career growth and development.



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