Founding Senior Engineer

About the job

Your Responsibilities: • Design and deploy deep-learning models for solar irradiance, wind-power, and hybrid generation forecasting at plant, regional, and grid levels. • Develop and optimise algorithms for hybrid renewable systems, focusing on dispatch optimisation, deviation minimisation, and real-time scheduling under grid constraints. • Build advanced analytics for energy storage and grid-integrated assets, including degradation modelling, optimal charge-discharge strategies, and performance optimisation. • Create physics-informed ML pipelines embedding power-systems knowledge (power-flow equations, inverter behaviour, transformer thermal dynamics) into learning architectures. • Own the full model lifecycle: data curation, experimentation (MLflow/W&B), MLOps, CI/CD, GPU training, and scalable cloud deployment and support distribution management use cases. • Collaborate with grid engineers and utility partners to translate regulatory and operational requirements (CEA grid codes, IEGC, DSM regulations) into model specifications. Experience & Must Have Skills: • 3-4 years hands on building and shipping ML products, preferably in energy, power systems, or grid operations domains. • Strong grasp of time series and image models (ConvLSTM, Attention, Vision Transformers) and core ML/statistics. • Proficiency in Python, scikit learn, TensorFlow/PyTorch. • Solid understanding of power systems fundamentals: generation dispatch, grid stability, reactive power management, renewable integration, and storage operations. • Experience with energy sector data: SCADA, AMI/smart meter streams, weather reanalysis datasets, and satellite derived irradiance products. • B.Tech / M.Tech in Electrical Engineering, Power Systems, Energy Engineering, CS, or a related field. Good to Have: • MLOps tooling (MLflow, Kubeflow, Airflow) and CI/CD automation for ML pipelines. • AWS/GCP GPU fleets, Docker, Kubernetes. • Power system simulation tools (PSS/E, ETAP, OpenDSS, Pandapower, PVLib, SAM). • Exposure to energy market mechanisms: day ahead/real time pricing on IEX/PXIL, ancillary service markets.