Founding Senior Engineer – Power Systems & Digital Intelligence

BioSky; New Delhi; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive salary

Founding-team-member ESOPs

Job summary

A leading AI-native energy firm in New Delhi seeks a Founding Senior Engineer to develop AI-driven solutions for energy generation and management. The role involves building machine learning models for solar and wind forecasting, optimizing hybrid power plants, and collaborating with grid engineers. Candidates must have 3–4 years of experience in ML products, strong skills in Python, and a relevant degree. Competitive salary and ESOPs are offered in a startup environment backed by Microsoft.

Qualifications

• 3–4 years of hands-on experience in building and shipping ML products in energy or power systems.
• Strong understanding of power-systems fundamentals including grid stability and renewable integration.
• Proficiency in ML frameworks like TensorFlow or PyTorch.

Responsibilities

• Design and deploy ML models for energy forecasting.
• Develop algorithms for hybrid renewable systems.
• Collaborate with engineers to meet regulatory standards.

Skills

Machine Learning

Python

Time-series Analysis

Grid Stability

Education

B.Tech / M.Tech in Electrical Engineering

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

BioSky is a space‑powered, AI‑native deep‑tech company reimagining energy resilience from space. Incubated at FITT – IIT Delhi and backed by Microsoft and SIDBI, we build physics‑driven satellite‑AI solutions for India’s modern power grid — from generation forecasting to grid‑edge intelligence.

Recognised among the top 15 global space‑tech startups — selected at Venture Catalyst Space Australia, AWS Space Accelerator, TACC+ Taiwan International Spacetech 2025, and Tata Enterprise Challenge. Awarded at Technology & Innovation Conclave 2.0 by Dr. Jitendra Singh, MoS – Science & Technology, and featured at Microsoft AI India Summit 2026. Our team brings 30+ years of collective expertise from ISRO, PwC Space Practice, IIT, IIM, and IISER, with active engagement with IN‑SPACe and IIRS‑ISRO.

About the Role

Join BioSky as a Founding Senior Engineer at the intersection of power‑systems engineering and machine learning. Your primary focus will be building AI‑driven solutions for the generation side — solar and wind forecasting, dispatch optimisation for hybrid power plants, battery analytics, and grid‑balancing intelligence. A secondary scope includes distribution‑management analytics for utilities.

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.

Ownership & Startup Mindset

We’re looking for self‑starters who take full ownership from idea to execution. You should be excited about the zero‑to‑one startup journey, comfortable navigating ambiguity, and driven to ship products that impact India’s energy transition.

What’s in It for You

• Competitive salary + founding‑team‑member ESOPs.
• End‑to‑end product ownership across forecasting, storage analytics, and grid intelligence.
• Flat structure, rapid experimentation culture, and cutting‑edge tech infrastructure backed by Microsoft.

About the Team

Core team from IIT Bombay, IIM Calcutta, IISER Bhopal, and IIT Kharagpur (PhD, Remote Sensing – IIRS ISRO). Previous experience at Strategy&, PwC Space Practice, and ISRO. Driven by PhDs and scientists with 30+ years of collective deeptech and space expertise.