AI/ML Engineer & Data Analyst

IT AI/ML Engineer & Data Analyst Join our team in building intelligent, AI-driven energy management and analytics solutions powered by real-time IoT and energy data. Explore other opportunities Who we are? Elements Energy is a climate-tech company building practical sustainability solutions across energy, carbon, air, and water. Based at and incubated by IIT Madras, we work with real-world institutions and utilities to help make cleaner operations simpler, smarter, and measurable. IIT Madras Based & Incubated Govt. of India Ministry of Power Supported Pilot Top 20 Startup at India AI Summit

Job Description About the Role We are looking for a highly motivated AI/ML Engineer & Data Analyst to join our team in building intelligent, data-driven energy management solutions. This role combines data analytics, machine learning, AI engineering, and full-stack development to help develop scalable systems that process real-time energy and IoT data. You will work closely with engineering, product, and energy teams to build analytics dashboards, predictive models, and AI-powered applications for energy optimization and operational intelligence.

This Is An Ideal Opportunity For Candidates Interested In

• Artificial Intelligence & Machine Learning
• Data Analytics & Visualization
• Energy & IoT Systems
• Full-Stack Development
• Real-Time Data Platforms Key Responsibilities Data Analytics & Insights
• Collect, clean, and analyse large datasets from energy meters, IoT devices, building management systems, and operational platforms
• Perform exploratory data analysis (EDA) to identify energy consumption patterns, anomalies, optimization opportunities, and demand behaviour
• Translate complex findings into actionable business insights
• Support operational and strategic decision-making using data Dashboards & Visualization
• Develop interactive dashboards and reporting tools
• Build visualizations using Tableau, Power BI, Plotly, and Dash
• Create analytics dashboards for energy monitoring, system performance, consumption trends, and forecasting insights AI & Machine Learning Development
• Design, develop, and deploy machine learning models for energy demand forecasting, predictive maintenance, anomaly detection, and energy optimization
• Work with large-scale real-time datasets
• Improve model performance, scalability, and reliability
• Support deployment and monitoring of AI systems in production environments Full-Stack & Backend Development
• Build and maintain scalable 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
• Support development of real-time analytics pipelines Data Engineering & Automation
• Automate data pipelines and reporting workflows
• Process and manage structured and unstructured datasets
• Build reliable systems for continuous data ingestion and analytics
• Work with databases and cloud-connected systems Collaboration & Product Development
• Work closely with product teams, software engineers, energy engineers, and analytics teams
• Translate business and operational requirements into AI-driven solutions
• Contribute to platform architecture and intelligent feature development

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or related fields
• 1–2 years of experience in AI/ML engineering, data analytics, or full-stack development
• Strong programming skills in Python
• Strong experience with MERN Stack: MongoDB, Express.js, React.js, and Node.js
• Experience working with machine learning models and analytics systems
• Strong knowledge of Pandas, NumPy, Scikit-learn, and data preprocessing techniques
• Experience with SQL and database management
• Experience building REST APIs and backend services
• Strong analytical and problem-solving skills

Preferred Skills

• Experience with TensorFlow, PyTorch, Generative AI, LLMs, and NLP systems
• Experience with time-series forecasting and predictive analytics
• Familiarity with IoT systems, smart meters, and energy data platforms
• Knowledge of Docker, Kubernetes, MLOps workflows, and cloud platforms
• Experience building scalable data pipelines and real-time analytics systems
• Exposure to computer vision or advanced AI systems What You’ll Gain
• Hands-on experience building AI-powered energy platforms
• Exposure to real-world IoT, energy, and analytics systems
• Opportunity to work on production-scale ML and data infrastructure
• Experience integrating AI into scalable full-stack applications
• Fast-paced startup environment with high ownership and learning
• Opportunity to contribute to impactful sustainability and clean energy solutions

Experience 1-2 years Salary Location IIT Madras Research Park, Chennai Type Full Time

Skills PythonMachine LearningData AnalyticsMERN StackMongoDBExpress.jsReact.jsNode.jsPandasNumPyScikit-learnREST APIsTableauPower BIPlotlyDashTensorFlowPyTorchGenerative AILLMsNLPSQLDockerKubernetesAWSAzureGCPIoT SystemsTime-Series ForecastingPredictive AnalyticsMLOps Apply for this role