Optimization and ML Modelling Engineer

Location :

Bengaluru, Karnataka (Onsite)

About the Company :

Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion.

Role Summary :

A renewable energy modeller’s role summary is to develop and apply energy system models to simulate, analyze, and optimize the performance of solar, wind, and other renewable projects or building systems. The role delivers detailed reports, validates models against real-world performance, and helps ensure environmental compliance, cost-effectiveness, and efficiency throughout project development and operations.

Key Tasks & Accountability :

Development of renewable power generation models using MS excel / Python or similar

Develop, run, and validate models to simulate renewable energy generation, grid integration, and system performance using MS excel / Python or similar

Analyze resource data (solar, wind, etc.), energy consumption patterns, and grid constraints to optimize system design.​

Assess project feasibility by predicting energy yield, cost, and environmental benefits, supporting site selection and planning.​

Collaborate with engineers, architects, and policy teams to interpret results and support project development or policy decisions.​

Analysis of meteorological data sets

Work on Energy transition Systems.

Identify trends, patterns, and opportunities within energy systems.

Work on use cases related to transition of High emitting sectors in Energy to Low / No Carbon.

Keeping track on the Renewable Energy market around the globe.

Education and Experience :

Domain expertise and qualifications include, but are not limited to :

Master’s degree or bachelor’s degree relevant to the renewable energy, engineering, environmental science, meteorology or a related field.

Should have experience of 3-5 years in Energy Sector

Skills :

Good understanding of the renowned solar / wind power generation models

Deep understanding on the meteorological data sets

problem solving and analytical skills

Good understanding of EXCEL / Python / R or any other programming languages

Good understanding on mathematical modeling

Knowledge on the software like Homer / PVsyst / SAM / Wind Pro / Windographer / WASP / Wind Pro etc. is desirable

What you will do :

Modeling the integration of renewables with storage and grid systems for reliability analysis.​

Evaluating the impacts of different policy and regulatory scenarios on renewable deployment.​

Collaborating with engineers and market analysts to refine assumptions and improve model accuracy.​

Documenting methodologies, key assumptions, and providing transparent input / output data for project audits.​

What you will bring :

A team player with good interpersonal skills and problem-solving abilities.

A self-motivator and a collaborative team player.

Excellent time management skills and the ability to assume leadership roles when necessary.

Agile, action oriented and a quick learner.

Out of box thinker.

Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.

Why Join Us

Shape a first-of-its-kind AI + clean energy platform.

Work with a small, mission-driven team obsessed with impact.

An aggressive growth path.

A chance to leave your mark at the intersection of AI, energy and sustainability.