Data Scientist

About Axross Pte Ltd

AI-driven HVAC control system for improved energy performance

Tech

Artificial Intellegence Machine Learning Digital Twin Simulation Computational Fluid Dynamics Cloud-based Platform

The role

### **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!

Skills

• Microsoft Azure
• ML
• Machine Learning
• Deep Learning
• Reinforcement learning (RL)
• Internet of Things (IoT)
• Data Modeling
• Data Analytics