Llmops

Fractal Analytics

Llm deployment and operationalization
Fine-tuning and evaluation workflows
Langchain and rag pipeline experience
The role involves spearheading the development, deployment, and operationalization of large language model-based solutions

Job Summary

  • The role involves spearheading the development, deployment, and operationalization of large language model-based solutions.
  • You will guide a team of AI/ML engineers and data scientists while managing the lifecycle of LLM applications.
  • The position requires establishing best practices for model governance, CI/CD pipelines, and responsible AI implementations.

Matching Summary

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

Skills & Requirements

Must-have

  • LLM deployment and operationalization
  • Fine-tuning and evaluation workflows
  • LangChain and RAG pipeline experience
  • Vector database integration
  • Cloud-native MLOps frameworks
  • Model governance and responsible AI

Nice-to-have

  • Pre-sales and proposal leadership
  • Strategic partnership development
  • Culture of innovation and accountability
  • Global delivery backlog management

Key Requirements

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

Work Rights

Not specified

Tailored Resume

Cover Letter