Johnson Controls
Base pay range
$85,000.00/yr – $110,000.00/yr
About Johnson Controls Johnson Controls is a global leader in smart, healthy, and sustainable buildings, serving customers in more than 150 countries. We create intelligent buildings, efficient energy solutions, integrated infrastructure, and next‑generation transportation systems.
What We Offer
Competitive compensation including base salary and performance bonus
Comprehensive benefits package (health, dental, vision, retirement)
Professional development budget and learning opportunities
Work on innovative AI/ML technology at global scale
Collaborative culture with growth‑oriented mindset
Flexible work arrangements and work‑life balance
What You Will Do This role focuses on implementing agentic AI systems, time series analytics, and signal processing capabilities to optimize building technologies, HVAC systems, and industrial IoT platforms. You’ll work alongside senior data scientists while taking ownership of key projects. This is a hybrid position (onsite 3 days per week) based in Glendale, WI. Candidates must be within commuting distance or able to relocate.
How You Will Do It
Develop and deploy agentic AI systems that optimize building operations, energy consumption, and equipment performance
Build time series forecasting models for energy demand, equipment behavior, and operational patterns
Apply signal processing techniques to analyze sensor data and detect anomalies in industrial environments
Implement end‑to‑end machine learning pipelines from data preprocessing through model deployment
Contribute to predictive maintenance projects using ML models to forecast equipment failures
Collaborate with cross‑functional teams to translate business requirements into data science solutions
Document methodologies, models, and results for knowledge sharing and reproducibility
Required Qualifications
Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or related field
4+ years of professional experience developing and deploying ML/AI solutions in industrial, IoT, or similar environments
Experience delivering at least 2–3 production ML models with measurable business impact
Hands‑on experience building agentic AI systems or autonomous decision‑making algorithms
Knowledge of reinforcement learning, multi‑agent systems, or autonomous optimization frameworks
Exposure to LLM‑based agents, tool use, or reasoning frameworks for decision‑making
Solid understanding of supervised and unsupervised ML algorithms with deployment experience
Time‑Series Analysis experience using ARIMA, Prophet, LSTM, or similar approaches
Experience processing sensor data from industrial equipment (vibration, temperature, pressure, acoustic signals)
Strong proficiency in Python with ML libraries (scikit‑learn, TensorFlow, PyTorch, XGBoost)
Experience with signal processing libraries (scipy.signal, PyWavelets)
Experience with at least one cloud platform (Azure preferred; AWS or GCP acceptable)
Solid SQL skills and familiarity with data streaming technologies (Kafka, MQTT)
Version control with Git and basic MLOps practices
Preferred Qualifications
Azure Machine Learning workspace, automated ML, and deployment capabilities
Familiarity with Azure ML pipelines, model registry, or managed endpoints
Experience with Azure Databricks, Azure Synapse Analytics, or Azure IoT Hub
Basic knowledge of Azure DevOps for CI/CD or model versioning
Experience with genetic algorithms or evolutionary strategies for optimization
Experience contributing to predictive maintenance projects or failure prediction models
Understanding of condition‑based monitoring concepts
Familiarity with maintenance optimization approaches
Additional Information
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Industrial Machinery Manufacturing
HIRING SALARY RANGE:
$85,000 – $110,000 (Salary adjusted by education, experience, knowledge, skills, and abilities of applicant). This position includes a comprehensive benefits package. For details, visit the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us #J-18808-Ljbffr
About Johnson Controls Johnson Controls is a global leader in smart, healthy, and sustainable buildings, serving customers in more than 150 countries. We create intelligent buildings, efficient energy solutions, integrated infrastructure, and next‑generation transportation systems.
What We Offer
Competitive compensation including base salary and performance bonus
Comprehensive benefits package (health, dental, vision, retirement)
Professional development budget and learning opportunities
Work on innovative AI/ML technology at global scale
Collaborative culture with growth‑oriented mindset
Flexible work arrangements and work‑life balance
What You Will Do This role focuses on implementing agentic AI systems, time series analytics, and signal processing capabilities to optimize building technologies, HVAC systems, and industrial IoT platforms. You’ll work alongside senior data scientists while taking ownership of key projects. This is a hybrid position (onsite 3 days per week) based in Glendale, WI. Candidates must be within commuting distance or able to relocate.
How You Will Do It
Develop and deploy agentic AI systems that optimize building operations, energy consumption, and equipment performance
Build time series forecasting models for energy demand, equipment behavior, and operational patterns
Apply signal processing techniques to analyze sensor data and detect anomalies in industrial environments
Implement end‑to‑end machine learning pipelines from data preprocessing through model deployment
Contribute to predictive maintenance projects using ML models to forecast equipment failures
Collaborate with cross‑functional teams to translate business requirements into data science solutions
Document methodologies, models, and results for knowledge sharing and reproducibility
Required Qualifications
Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or related field
4+ years of professional experience developing and deploying ML/AI solutions in industrial, IoT, or similar environments
Experience delivering at least 2–3 production ML models with measurable business impact
Hands‑on experience building agentic AI systems or autonomous decision‑making algorithms
Knowledge of reinforcement learning, multi‑agent systems, or autonomous optimization frameworks
Exposure to LLM‑based agents, tool use, or reasoning frameworks for decision‑making
Solid understanding of supervised and unsupervised ML algorithms with deployment experience
Time‑Series Analysis experience using ARIMA, Prophet, LSTM, or similar approaches
Experience processing sensor data from industrial equipment (vibration, temperature, pressure, acoustic signals)
Strong proficiency in Python with ML libraries (scikit‑learn, TensorFlow, PyTorch, XGBoost)
Experience with signal processing libraries (scipy.signal, PyWavelets)
Experience with at least one cloud platform (Azure preferred; AWS or GCP acceptable)
Solid SQL skills and familiarity with data streaming technologies (Kafka, MQTT)
Version control with Git and basic MLOps practices
Preferred Qualifications
Azure Machine Learning workspace, automated ML, and deployment capabilities
Familiarity with Azure ML pipelines, model registry, or managed endpoints
Experience with Azure Databricks, Azure Synapse Analytics, or Azure IoT Hub
Basic knowledge of Azure DevOps for CI/CD or model versioning
Experience with genetic algorithms or evolutionary strategies for optimization
Experience contributing to predictive maintenance projects or failure prediction models
Understanding of condition‑based monitoring concepts
Familiarity with maintenance optimization approaches
Additional Information
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Industrial Machinery Manufacturing
HIRING SALARY RANGE:
$85,000 – $110,000 (Salary adjusted by education, experience, knowledge, skills, and abilities of applicant). This position includes a comprehensive benefits package. For details, visit the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us #J-18808-Ljbffr