Machine learning and reinforcement learning experience
Production-grade ml system deployment
ALPHA ESS INTERNATIONAL PTE. LTD. is seeking an AI Engineer to develop and deploy forecasting and optimization algorithms for their Battery Energy Storage Systems and Virtual Power Plant platforms. The ideal candidate will possess strong experience in machine learning, optimization, and algorithm engineering, with a focus on energy trading performance
Job Summary
This role focuses on building next-generation revenue optimization and algorithmic dispatch capabilities for BESS and VPP platforms across residential and utility-scale applications.
The position requires end-to-end ownership of the algorithm lifecycle from research and offline evaluation to live deployment, monitoring, and continuous optimization.
Candidates are encouraged to apply from adjacent domains such as quantitative optimization, trading systems, or large-scale real-time decision systems even without prior energy market experience.
Matching Summary
Match Score: 85
ALPHA ESS INTERNATIONAL PTE. LTD. is seeking an AI Engineer to develop and deploy forecasting and optimization algorithms for their Battery Energy Storage Systems and Virtual Power Plant platforms. The ideal candidate will possess strong experience in machine learning, optimization, and algorithm engineering, with a focus on energy trading performance.
Skills & Requirements
Must-have
Strong Python development skills
Machine learning and reinforcement learning experience
Production-grade ML system deployment
Optimization solvers like Gurobi or CPLEX
Time-series forecasting frameworks
Nice-to-have
Experience with overseas electricity markets
Familiarity with cloud-native environments
Background in autonomous systems or logistics
Knowledge of MPC and operations research
Key Requirements
5+ years of hands-on experience in algorithm engineering
Strong engineering mindset with production ownership mentality
Experience with forecasting, optimization, or dispatch systems