Aleph Tech is a Climate Tech company specialising in enhancing energy efficiency and expediting decarbonisation in manufacturing plants (e.g. chemicals, pharmaceuticals) and power sectors.
Powered by advanced AI and Digital-Twin technology, our software platform monitors predicts, and reduces energy use and carbon emissions. Our AI-driven system employs advanced machine learning models, aiding plant operators in pinpointing inefficiencies and optimising energy through in-platform alerts and tailored recommendations.
Beyond existing efficiency, our AI generates bespoke renewable energy transition plans for plants to unlock new energy efficiency levels. Our comprehensive approach empowers industries and power sectors to fortify efficiency, curtail environmental impact, and cultivate sustainable practices across the energy value chain, advancing toward a smarter, greener future.
Project role: Machine Learning Engineer
The Trainee will play a crucial role in optimising machine learning models and designing, developing, and implementing the software platform, leveraging the ML-models to optimise energy efficiency. They will collaborate with product manager, chemical engineer, and front-end engineer to:
- Design, develop or refine the machine learning algorithms and architecture
- Test, validate, and fine-tune AI-model accuracy and effectiveness in real/operational environment via projects with clients
- Collaborate with front-end engineer and product manager to improve software platform's architecture, workflow, and design
Machine Learning Engineer