AI/ML Engineer & Data Analyst

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