About the Prospect

A quick-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