Location: Thiruvallur / Chennai
Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related engineering field.

Experience: 2 to 3 Years

An AI Implement Engineer in Municipal Solid Waste Management (MSWM) designs, deploys, and maintains artificial intelligence and machine learning solutions across the entire urban waste lifecycle—from generation and smart collection to automated sorting and disposal. The AI Implement Engineer bridges the gap between artificial intelligence, Management operations, and waste-to-resource management systems. This role is responsible for designing, deploying, and managing AI-driven workflows.

· Design, deploy, and scale machine learning (ML) models, computer vision systems, and optimization algorithms tailored to manufacturing floors and waste-sorting/processing plants.

· Integrate AI models with existing Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), and IoT sensor networks (MQTT, OPC UA).

· Build real-time monitoring dashboards and automated alert systems for resource utilization, emissions tracking, connecting the software for real time implementation.

Core Responsibilities

· Smart Collection & IoT Integration: Deploy and manage IoT sensor networks in smart bins to track fill levels in real time,



using predictive models (such as Artificial Neural Networks or Support Vector Machines) to forecast waste accumulation.

· Route & Fleet Optimization: Build and maintain Genetic Algorithms and GIS (Geographic Information Systems) routing engines to minimize fuel consumption, travel distances, and greenhouse gas emissions for garbage trucks.]

· Automated Sorting & Computer Vision: Implement computer vision models (such as YOLO variants and deep convolutional neural networks) alongside robotic arms or optical sorters to classify materials (plastics, paper, organic) at high precision.

· Contamination Detection: Set up edge-computing vision systems (such as on-truck camera arrays) to spot improper sorting or hazardous items before bins are emptied into compaction trucks

· Data Pipelines & Digital Twins: Create scalable data infrastructure for municipal waste data, training machine learning models to forecast city-wide waste volumes and model circular economy outcomes.

If interested send profiles to [email protected]/[email protected] or WhatsApp resume to +91-XXXXXXXXXX/98407 68441.

Perks:

- Cell phone reimbursement
- Food provided
- Internet reimbursement
- Provident Fund

Work Location: In person

📌 AI Implement Engineer (Tiruvallur)
🏢 GREEN WARRIOR
📍 Tiruvallur