Lead Ai Engineer - Vice President

Publix Serving (Civica)

Pune Maharashtra, India
On-site
Generative ai solutions
Large language models (llms)
Retrieval-augmented generation (rag)
The Lead AI Engineer - Vice President role at Publix Serving (Civica) in Pune, India, seeks an experienced professional to drive the design and implementation of generative AI solutions. The position requires a blend of technical expertise in AI systems and leadership skills, focusing on architectural strategy and hands-on development

Job Summary

  • Lead the design, development, and implementation of cutting-edge generative AI solutions, harnessing the power of Large Language Models (LLMs) and other generative technologies.
  • Architect end-to-end generative AI solutions, develop a strategic roadmap, and lead hands-on development of complex AI systems.
  • Establish best practices for the AI development lifecycle, collaborate with management teams, and serve as a senior advisor and coach to other engineers.

Matching Summary

Match Score: 85

The Lead AI Engineer - Vice President role at Publix Serving (Civica) in Pune, India, seeks an experienced professional to drive the design and implementation of generative AI solutions. The position requires a blend of technical expertise in AI systems and leadership skills, focusing on architectural strategy and hands-on development.

Skills & Requirements

Must-have

  • Generative AI solutions
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Autonomous AI agents
  • Python programming proficiency
  • PyTorch and TensorFlow
  • MLOps principles

Nice-to-have

  • Vector databases and search technologies
  • Data pipeline development
  • Containerization and orchestration
  • Distributed caching solutions

Key Requirements

  • Extensive experience in designing and building AI/ML solutions
  • Significant focus on generative AI and LLMs
  • Deep understanding of modern AI architectures and techniques
  • Expert-level skills in Python
  • Extensive experience with PyTorch, TensorFlow
  • Proven ability to architect large-scale, distributed applications
  • Strong knowledge of microservices, API design
  • Solid understanding of MLOps principles
  • Demonstrated experience as a technical lead, architect, or principal engineer

Work Rights

Not specified

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