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AI / Machine LearningOnsite

Sr. AI/ML Engineer

Johnson Controls - Company

Glendale, Maricopa County, ๐Ÿ‡บ๐Ÿ‡ธ United StatesFull-time - Senior (4-7 years)0 applicantsCloses Jun 20, 2026

Salary

USD 124,145 - 124,145 / year

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Job description

Job details

  • Location: Glendale, Maricopa County
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: USD 124,145 per year

Role overview

Johnson Controls is seeking a Senior AI/ML Engineer to join their team in Glendale, Maricopa County. This full-time, onsite position offers a salary of $124,145 USD and focuses on developing artificial intelligence and machine learning solutions for smart, healthy, and sustainable buildings. As a global leader in building technology, Johnson Controls provides the opportunity to work on meaningful projects that reimagine building performance to serve people, places, and the planet.

Job details

This is a full-time, onsite role based in Glendale, Maricopa County. The position offers a competitive salary of $124,145 USD. You will work with cutting-edge AI and ML technologies to support multiple industries globally while developing yourself through impactful work projects and continuous learning opportunities.

Responsibilities

  • Design and implement AI/ML models for building performance optimization
  • Develop scalable machine learning solutions for smart building systems
  • Collaborate with cross-functional teams on AI-driven sustainability projects
  • Deploy and monitor production ML models across global building infrastructure
  • Research and integrate emerging AI technologies into building automation

Requirements

  • 4-7 years of experience in AI/ML engineering or related field
  • Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch
  • Experience deploying production machine learning models at scale
  • Bachelor's or Master's degree in Computer Science, AI, or related field
  • Knowledge of cloud platforms and MLOps best practices

Benefits

  • Competitive salary of $124,145 USD
  • Meaningful work on sustainable building solutions
  • Professional development and learning opportunities
  • Global team collaboration across multiple industries

Keywords

AIMachine LearningPythonDeep LearningTensorFlowPyTorchData ScienceNeural Networks