Highlights

This hands-on role focuses on building AI-powered systems that integrate Google Cloud LLMs with BigQuery data, support root-cause analysis, and deliver explainable insights to quality engineers. Apply AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, and virtual assistants.

Numbers & Facts

LocationDearborn, MI

Description

Details:

Stefanini Group is hiring!

Stefanini is looking for AI Engineer, Dearborn, MI

For quick apply, please reach out to Parul Singh at 248-582-6481/parul.singh@stefanini.com

We are seeking an AI Engineer who will develop intelligent programs, cognitive applications, and algorithms for data analysis and automation. This hands-on role focuses on building AI-powered systems that integrate Google Cloud LLMs with BigQuery data, support root-cause analysis, and deliver explainable insights to quality engineers.

Key Responsibilities

  • Translate business requirements into AI algorithms, models, and applications that solve complex problems, generate recommendations, identify patterns, make predictions, interpret sensor data, orchestrate automation, and enable self-service capabilities.
  • Build AI agents that generate and execute BigQuery SQL to support investigations and root-cause analysis.
  • Design investigation-memory models to preserve relevant intelligence across sessions, using structured and, where appropriate, semantic approaches.
  • Develop multi-step reasoning workflows and APIs that power user experiences for quality engineers.
  • Conduct large-scale experimentation and develop data-driven applications that turn data into actionable intelligence.
  • Apply AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, and virtual assistants.
  • Research and optimize AI technologies to improve the efficiency and accuracy of data analysis and automation.
  • Implement logging, traceability, and governance mechanisms to support explainable and accountable AI-powered systems.

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