AI/ML Engineer & Data Analyst

Elementsenergies; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Elementsenergies is seeking a highly motivated AI/ML Engineer & Data Analyst to join our team and build intelligent, data-driven energy management solutions. You will work across data analytics, ML engineering, and full-stack development to create scalable systems that process real-time energy and IoT data.

You will develop dashboards, predictive models, and AI-powered features for energy optimization, collaborating with product and energy teams to deliver operational intelligence and scalable

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

Responsibilities

• 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
• 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
• 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
• Build and maintain scalable MERN-based backend APIs and microservices
• Integrate machine learning models into the Elements Energy Management Platform
• Support development of real-time analytics pipelines
• Automate data pipelines and reporting workflows
• Process and manage structured and unstructured datasets
• Build reliable systems for continuous data ingestion and analytics
• Collaborate 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

Skills

Python

MERN Stack

ML Models

Data Analytics

REST APIs

SQL

Pandas

NumPy

Scikit-learn

Data Visualization

Big Data

Cloud Platforms

Education

Bachelor's or Master's in CS/AI/DS/Statistics/Engineering

Tools

MongoDB

Express.js

React.js

Node.js

Docker

Kubernetes

MLOps

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