About the role
Job Title: Data Scientist
Location: Kuala Lumpur, Malaysia
Company: Axross Pte Ltd
Type: Full-Time
About Us:
At Axross, we’re building advanced HVAC AI solutions to optimise energy efficiency in industries like pharmaceuticals, semiconductors, and precision manufacturing. Our systems help manufacturers better control the production environment while reducing energy consumption, contributing to cost reductions and environmental sustainability.
We are looking for a Data Scientist who is passionate about applying data science, machine learning, and AI techniques to real-world industrial challenges. Join us in pushing the boundaries of innovation by developing intelligent systems that can drive significant energy and operational efficiencies.
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.
