### **About Axross**
At **Axross**, we develop **AI-powered HVAC optimization platforms** that help industrial clients - including those in **pharmaceuticals, semiconductors, and precision manufacturing**, monitor, control, and reduce their energy usage. Our systems rely on high-quality, real-time data from IoT devices, sensors and BMS, which power smarter, greener decisions for our clients.
### **Roles and Responsibilities**
* Develop and implement advanced machine learning models (e.g., reinforcement learning, supervised learning) for real-time optimization of HVAC systems.
* Work with dynamic simulation models to predict and optimise the performance of industrial systems.
* Analyse large datasets, including plant and environmental data such as temperature, humidity, and energy consumption metrics.
* Build and refine predictive models for energy demand forecasting and optimise control strategies across different industrial applications.
* Collaborate with cross-functional teams (AI engineers, product managers) to deploy models in production environments.
* Design and evaluate experiments to test and validate model performance, ensuring alignment with energy efficiency goals.
* Continuously enhance models to improve prediction accuracy and system control.
* Present findings, analysis, and insights to both technical and non-technical stakeholders.
### **Requirements**
* Have at least 2 years experience with ETL processes and model optimization techniques like feature selection, hyper-parameter tuning, and model validation.
* Proficient in programming languages like Python, R, or Java, with a strong foundation in designing algorithms using various data structures.
* Solid understanding of dynamic simulation models and / or digital twins for system optimization.
* Experience with cloud platforms (e.g., Microsoft Azure, AWS) for deploying AI models.
* Strong analytical thinking, problem-solving skills, and attention to detail.
* Excellent communication skills with the ability to convey complex data insights to a diverse audience.
* Deep understanding and hands-on experience with predictive modelling algorithms like logistic regression, neural networks, decision trees, and heuristic models.
* Ability to work efficiently with different teams and independently learn new concepts or techniques.
### **Qualifications**
* Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
* Experience in energy optimization, manufacturing, or industrial IoT projects is an advantage.
* Knowledge of reinforcement learning and control theory is highly desirable.
### **What We Offer?**
* The opportunity to work on cutting-edge AI projects with real-world impact.
* A collaborative and innovative work environment.
* Competitive salary and benefits.
* Career growth opportunities in a fast-growing industry focused on sustainability and innovation.
### **Apply Now!**
If you’re excited about using data science and AI to solve industrial challenges and drive sustainable solutions, we’d love to hear from you!
Visa sponsorship is offered for this role.
