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AI/ML Developer (ITS/Smart City/Smart Highway)
Actively Reviewing
GLOBELANCE
Job Description
Location: Noida
Experience: Minimum 5 years in AI/ML development, focusing on the tolling industry
Salary: Up to 15 LPA
Job Overview
We are seeking an experienced AI/ML Developer with hands-on expertise in computer vision, deep learning, and real-time video analytics to design and implement advanced Intelligent Transportation Systems (ITS) solutions. The ideal candidate will develop and optimize visual intelligence models for traffic surveillance, automatic incident detection, and enforcement functionalities, integrated with systems such as ATCC, AVC, TMCS, ANPR, VIDS, VIDES, and VASD.
Experience Requirement
Skills: pytorch,smart highway,anpr,atcc,google tensorflow,advanced intelligent transportation systems,avc,ai/ml development,edge computing platforms,vasd,tmcs,video analytics,its,ai/ml developer,vides,smart city,computer vision,vids
Experience: Minimum 5 years in AI/ML development, focusing on the tolling industry
Salary: Up to 15 LPA
Job Overview
We are seeking an experienced AI/ML Developer with hands-on expertise in computer vision, deep learning, and real-time video analytics to design and implement advanced Intelligent Transportation Systems (ITS) solutions. The ideal candidate will develop and optimize visual intelligence models for traffic surveillance, automatic incident detection, and enforcement functionalities, integrated with systems such as ATCC, AVC, TMCS, ANPR, VIDS, VIDES, and VASD.
Experience Requirement
- Minimum 5 years of professional experience in AI/ML development.
- At least 2 years of hands-on experience in computer vision or video analytics.
- Proven track record in developing and deploying real-time AI models for visual-based ITS or industrial automation products.
- Experience working in production environments with large-scale data and multi-camera video analytics systems.
- Design and develop AI-based video analytics models for incident detection, including:
- Stopped vehicles
- Wrong-way driving
- Pedestrian entry
- Congestion
- Accidents
- Develop deep learning solutions for:
- Vehicle classification
- Speed estimation
- Number plate recognition
- Traffic rule violation detection
- Build and optimize object detection, motion tracking, and event recognition pipelines for live video feeds.
- Integrate trained models with ITS frameworks such as VIDES, ATCC, AVC, TMCS, ANPR, and VASD.
- Develop tools for data labeling, annotation, and dataset management for model training and evaluation.
- Deploy AI models on edge computing platforms (e.g., NVIDIA Jetson, Intel Movidius) for real-time inference.
- Collaborate with cross-functional teams to integrate video analytics with control room dashboards, alerting systems, and central ATMS servers.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) for model deployment.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Skills: pytorch,smart highway,anpr,atcc,google tensorflow,advanced intelligent transportation systems,avc,ai/ml development,edge computing platforms,vasd,tmcs,video analytics,its,ai/ml developer,vides,smart city,computer vision,vids
Required Skills
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