Optimization and ML Modelling Engineer

Location : Bengaluru, Karnataka

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 :

We are seeking a highly skilled Optimization and ML Modelling Engineer to design, develop, and deploy prescriptive models that identify optimal solutions under complex business and operational constraints. The role focuses on formulating and solving optimization problems using advanced mathematical programming and numerical methods. The ideal candidate will combine strong analytical thinking with hands-on Python development to build models that drive intelligent, data-informed decision-making.

Key Responsibilities :

• Design, develop, and implement optimization and forecasting models for complex analytical problems.
• Apply mathematical programming (linear, nonlinear, integer, and mixed-integer optimization) to operational and decision-making scenarios.
• Build, train, and fine-tune machine learning and statistical models for regression, classification, and clustering.
• Conduct feature selection, hyperparameter tuning, and performance evaluation using systematic validation techniques.
• Integrate ML and optimization algorithms within business or system logic for intelligent decision-making.
• Collaborate with cross-functional teams to ensure models are scalable, interpretable, and production-ready.
• Stay updated with advancements in optimization algorithms, ML model architectures, and applied AI techniques.

Education & Experience :

Skills Required :

What You’ll Do :

What you will bring :

Why Join Us :