SOLShare
AI & Lithium Battery Health Analytics Fellow
About the Organization
SOLshare is a green utility company creating a global network of smart distributed solar PV and storage assets at the nexus of energy and transport to increase renewables to the grid while putting more money into the pockets of 5 million electric three-wheeler drivers in Bangladesh today.
Fellowship Description:
The fellow will work on building advanced AI-driven solutions for the organization. Responsibilities include developing an AI-powered chatbot and designing a lithium-ion battery health monitoring system. The role involves researching and implementing machine learning algorithms to estimate battery health, analyzing performance and sensor data, and integrating AI models into practical applications. The fellow will collaborate with cross-functional teams to ensure the solutions are scalable, reliable, and aligned with organizational goals.
Qualifications:
Strong programming skills in Python and familiarity with relevant libraries (TensorFlow, PyTorch, scikit-learn, etc.)
Experience with AI/ML model development, NLP, or chatbot frameworks
Understanding of lithium-ion battery characteristics and degradation patterns
Ability to work with time-series and sensor datasets
Knowledge of API integration and deployment of ML models
Strong analytical, problem-solving, and communication skills
Time Commitment: 30 hours / week