Job Description

Job Details MLOps Engineer- Smart Building Overview Spaces and buildings are getting smarter with connected technologies. With more connectivity, there is access to more data from sensors installed in buildings. Johnson Controls is leading the way in providing Machine Learning enabled solutions that contribute to saving energy, optimizing workflows, and enabling predictive and condition-based maintenance for machines and devices installed. Our Digital Solutions team is looking for a MLOps Engineer to join our growing team. You will play a critical role in helping our customers to deploy machine learning models, collect and transform data and maintain the infra-structure running the models. To be successful in this role, the MLOps Engineer should have a deep knowledge of machine learning concepts, data wrangling tools as well as hands on experience in developing and deploying ML models in production. Principle Duties:

• Deploy ML models in production env
• Collect train/test data and apply necessary transformations before pushing them into database
• Maintain the infra-structure that runs the models and data pipelines
• Retrain models based on the availability of new data and degradation of the running models
• Deploy Foghorn enabled edge platform in customer sites

• 5+ years of experience in developing and deploying ML models
• Familiar with data science libraries like Pandas, scikit-learn, Pytorch and so on
• Familiar with Docker and containers in general
• Familiar with REST APIs and micro-service architecture
• Deep understanding machine learning concepts like clustering and classification and forecasting.
• Understanding of software development life cycle is a big plus

• Knowledge about building systems
• Familiar with IoT technologies
• Passion for healthy and smart building applications