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Mid-level ML role in Bangalore with recognized energy brand but niche battery specialization limits applicant pool.
Role requires specialized battery and energy-storage domain knowledge, reducing cross-industry transferability.
Explicit 3–7 years, domain-specific battery energy experience and required production-grade ML skills enforce strict filters.
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Develop and maintain advanced analytics, KPIs, and alerts from operational battery data for performance assessment, degradation analysis, and issue detection.
Build, train, and manage data-driven models including first-principles, Machine Learning, AI, and optimization models for battery performance, forecasting, anomaly detection, and predictive maintenance.
Create visualizations and reports to communicate model results and collaborate with cross-functional teams to integrate analytics into products.
Bachelor’s degree in Data Science, Computer Science, Electrical/Mechanical/Chemical Engineering, Mathematics or related field.
3 to 7+ years professional experience in data science, software engineering, controls, operations research, or related roles in energy sector or industrial automation.
Proficient in Python or comparable programming language with experience in scientific libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, Pyomo, and Plotly.
Experience developing scalable, production-grade analytics solutions in collaboration with software engineering teams.
Experienced in the energy sector with familiarity in battery storage and renewable energy technologies.
Strong backgrounds in statistical analysis, ML/AI models, and mathematical optimization applied to battery systems.
Capable of independently managing tasks, collaborating across teams, and delivering high-quality analytics solutions integrated with software platforms.