Machine Learning Engineer

Job Title : Machine Learning 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 and analytical Machine Learning Engineer to design, develop, and optimize advanced ML and optimization models that power intelligent, data-driven decision systems. The ideal candidate will focus on building predictive, prescriptive, and optimization-based solutions to solve complex real-world challenges. This role involves close collaboration with data scientists, engineers, and domain experts to build scalable, production-ready ML systems.

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