Senior AI/ML Operations Manager

2 weeks ago

Bangalore, India Resourcetree Full time

Role and Responsibilities:


We are seeking a highly skilled Senior AI/ML Operations Manager to join our team at Resourcetree. The successful candidate will be responsible for defining and disseminating best practices for Large Language Model (LLM) operations, evaluating and comparing different tools, and collaborating with architects, engineers, and data scientists to design and implement infrastructure requirements for efficient LLM use-cases in production.


Key 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:



  • 5-10 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.
  • 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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