Llmops

fractal-analytics.framer.ai

Llmops experience with generative ai
Architect end-to-end llm workflows
Experience with langchain and rag pipelines
The role involves spearheading the development and operationalization of large language model-based solutions across the organization

Job Summary

  • The role involves spearheading the development and operationalization of large language model-based solutions across the organization.
  • Candidates will lead a team of AI/ML engineers to ensure scalable, secure, and responsible AI implementations.
  • The position requires establishing best practices for model governance, CI/CD pipelines, and integrating LLMs with enterprise systems.

Matching Summary

The role involves spearheading the development and operationalization of large language model-based solutions across the organization.

Skills & Requirements

Must-have

  • LLMops experience with generative AI
  • Architect end-to-end LLM workflows
  • Experience with LangChain and RAG pipelines
  • Manage ML engineers and data scientists
  • Establish model governance and CI/CD pipelines

Nice-to-have

  • Foster culture of innovation and accountability
  • Strategic partnerships with cloud providers
  • Pre-sales and proposal leadership skills
  • Deep understanding of NLP architectures

Key Requirements

  • Master's or PhD in Computer Science or related field
  • 8+ years of experience in AI/ML
  • At least 2 years in LLMOps or generative AI
  • Proven track record of deploying LLMs in production

Work Rights

Not specified

Tailored Resume

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