**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 general 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.

📌 Sr Data Scientist (San Pedro Garza García)
🏢 Johnson Controls
📍 San Pedro Garza García