Key Responsibilities:

• Develop and maintain AI algorithms and capabilities within digital products leveraging data from commercial buildings.

• Optimize building energy consumption, occupancy levels, and reduce CO2 emissions.

• Generate actionable insights to improve building operations.

• Translate complex data into direct recommendations for various stakeholders.

• Collaborate with product managers and cross-functional teams to integrate AI capabilities into existing products.

• Research and implement state-of-the-art techniques in Generative AI solutions.

• Design and develop ML and time series prediction solutions addressing complex business requirements.

• Write high-quality Python code to develop scalable and production-ready ML models.

• Develop and maintain AI model integration pipelines and ensure optimal performance through testing.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.

• 7+ years of experience in developing and deploying machine learning models.

• Expertise in Python and familiarity with ML libraries such as PyTorch, TensorFlow, and scikit-learn.

• Strong understanding of machine learning algorithms including regression, classification, clustering, deep learning, and time-series prediction.

• Experience with Large Language Models (LLM) and advanced prompt engineering techniques.

• Excellent communication skills and the ability to collaborate with cross-functional teams.

What We Offer:

Johnson Controls offers a dynamic work environment and the opportunity to be part of a leading global multi-industrial corporation dedicated to innovation and sustainability. Join us to make a difference with smart building solutions that improve efficiency and reduce environmental impact.