AI/ML Engineer & Data Analyst

About the role

Apply through the official Elements Energy careers page. Elements Energy is an IIT Madras-incubated climate-tech company building sustainability solutions across energy, carbon, air, and water. The c… Subscribe to Premium to view the full description and apply.

Responsibilities

• Collect, clean, and analyse datasets from energy meters, IoT devices, building management systems, and operational platforms.
• Perform exploratory data analysis to identify consumption patterns, anomalies, optimization opportunities, and demand behaviour.
• Translate analytical findings into actionable business and operational insights.
• Develop interactive dashboards and visualizations using Tableau, Power BI, Plotly, and Dash.
• Build and deploy machine learning models for energy demand forecasting, predictive maintenance, anomaly detection, and energy optimization.
• Improve the performance, scalability, and reliability of machine learning models and production AI systems.
• Build and maintain applications using the MERN stack.
• Develop backend APIs and microservices for analytics and AI integration.
• Integrate machine learning models into the Elements Energy Management Platform.
• Automate data pipelines, reporting workflows, and continuous data ingestion.
• Manage structured and unstructured datasets using databases and cloud-connected systems.
• Collaborate with product, software engineering, energy engineering, and analytics teams to develop AI-driven features.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related field.
• 1–2 years of experience in AI/ML engineering, data analytics, or full-stack development.
• Strong programming skills in Python.
• Strong experience with MongoDB, Express.js, React.js, and Node.js.
• Experience working with machine learning models and analytics systems.
• Knowledge of Pandas, NumPy, Scikit-learn, and data preprocessing techniques.

Required Skills