Senior Systems Engineer – Generative AI, AutoZone

Senior Systems Engineer - Generative AI, AutoZone

Company AutoZone
Job title Senior Systems Engineer – Generative AI
Job location Gurugram, India
Type Full Time

Responsibilities:

  • Lead the implementation of Generative AI products, driving the successful launch of the first version to market and ensuring its alignment with the company’s goals and vision.
  • Train, fine-tune, and deploy LLM solutions on our expansive proprietary data.
  • Develop and implement RAG-based chatbots, utilizing advanced techniques like query rewriting, efficient retrieval, and re-ranking.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging AI to improve business processes.
  • Collaborate cross-functionally to deploy AI solutions and monitor outcomes.
  • Provide mentorship and guidance to the team, fostering their professional growth and enhancing overall team performance

Requirements & Skills:

  • Bachelor’s or Master’s degree in computer science, Software Engineering, or a related field.
  • Typically requires a minimum of 10 years of Industry experience with a strong focus on Information Retrieval, Large Language Models, NLP & NLU, and Graph Neural Networks.
  • Hands-on experience with both traditional keyword-based search technologies as well as modern search paradigms utilizing vector-based retrieval algorithms and search systems such as Elasticsearch or Solr.
  • In-depth knowledge and experience with machine learning systems in production, particularly in the NLP/LLM field. Used LLM beyond hobbies. Had experiences in model fine-tuning and/or reward learning.
  • Excellent programming skills with two or more of the following languages – Python, Java, TypeScript/Node & React.
  • Familiarity with at least one major cloud platform – GCP or Azure preferred.
  • Self-driven and highly motivated to take ownership of projects and drive them to completion.
  • Strong analytical and problem-solving skills, coupled with an unwavering attention to detail.
  • A strong advocate of clean code

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