About the Opportunity

A fast-scaling tech firm operating at the intersection of AI, transportation infrastructure, and smart tolling systems, we build next-gen machine learning models that power real-time vehicle classification, license plate recognition, fraud detection, and dynamic toll pricing for national highway networks across India. Our AI/ML developers design and deploy computer vision and NLP-driven solutions that process millions of toll transactions daily — turning raw camera feeds and sensor data into intelligent, automated, and scalable mobility infrastructure.

Role & Responsibilities
- Design, train, and deploy deep learning models for vehicle type classification, license plate OCR, and occupancy detection using CV pipelines.
- Optimize inference latency and accuracy for edge-based toll gate cameras and cloud-based central processing units.
- Integrate ML models into production-grade tolling platforms using Docker, Kubernetes, and MLOps tools like MLflow or Weights & Biases.
- Collaborate with hardware engineers to calibrate ML performance under varying lighting,



weather, and traffic conditions.
- Build anomaly detection models to flag toll evasion, duplicate transactions, or device tampering in real-time.
- Document model performance metrics, versioning, and retraining workflows to ensure regulatory and operational compliance.

Skills & Qualifications
- Must-Have
- Python
- PyTorch
- TensorFlow
- OpenCV
- YOLOv8
- ONNX
- Docker
- REST APIs
- Preferred
- ONNX Runtime
- TensorRT
- Tolling or transportation domain exposure

Perks & Culture Highlights
- Work at the forefront of AI in India’s smart infrastructure ecosystem — your models impact national highways and millions of daily commuters.
- Access to real-world datasets, edge hardware labs, and cloud GPU clusters for rapid experimentation and deployment.
- Flat hierarchies, outcome-driven culture, and direct exposure to product owners and government stakeholders.

📌 AI/ML Developer (Noida)
🏢 Mindtel
📍 Noida