Website:
yourhrmexpert.com
Job details:
Location & Employment Type
š Location: Noida
š¼ Employment Type: Full-time, On-site
Salary :- upto 15lpa
Experience Requirement
ā¢ Minimum 5 years of professional experience in AI/ML development, with at least 2 years of hands-on experience in computer vision or video analytics.
ā¢ Proven track record in developing and deploying real-time AI models for visual-based ITS or industrial automation products.
ā¢ Experience working in production environments with large-scale data and multi-camera video analytics systems.
Key Responsibilities
ā¢ Design and develop AI-based video analytics models for incident detection, including stopped vehicles, wrong-way driving, pedestrian entry, congestion, and accidents.
ā¢ Develop deep learning solutions for vehicle classification, speed estimation, number plate recognition, and traffic rule violation detection.
ā¢ Build and optimize object detection, motion tracking, and event recognition pipelines for live video feeds.
ā¢ Integrate trained models with ITS frameworks such as VIDES, ATCC, AVC, TMCS, ANPR, and VASD.
ā¢ Develop tools for data labeling, annotation, and dataset management for model training and evaluation.
ā¢ Deploy AI models on edge computing platforms (e.g., NVIDIA Jetson, Intel Movidius) for real-time inference.
ā¢ Collaborate with cross-functional teams to integrate video analytics with control room dashboards, alerting systems, and central ATMS servers.
ā¢ Continuously monitor model performance and implement fine-tuning and retraining strategies to maintain accuracy.
ā¢ Collaborate with backend and frontend teams for API development, alert management, and visualization.
ā¢ Research and implement state-of-the-art techniques in computer vision and multimodal AI to enhance system capabilities.
Required Technical Skills
ā¢ Strong programming skills in Python, with experience in OpenCV, TensorFlow, PyTorch, or Keras.
ā¢ Proficiency in MySQL / Pinecone DB / Vector DB for model data integration and analytics reporting.
ā¢ Experience with REST API, GraphQL, GRPC, and integration of AI modules with backend systems using microservices architectures.
ā¢ Solid understanding of Deep Learning architectures ā CNN, R-CNN, YOLOv8, SSD, ResNet, and DeepSORT.
ā¢ Experience in real-time video processing, object detection, tracking, and event detection.
ā¢ Familiarity with RTSP, RTMP, ONVIF, and video streaming frameworks.
ā¢ Experience with edge AI deployment (TensorRT, ONNX, OpenVINO).
ā¢ Proficient in Linux environments, Docker, and Git version control.
ā¢ Skilled in model evaluation and performance tuning using metrics such as precision, recall, F1-score, and latency.
ā¢ Experience in computer vision dataset preparation, cleaning, and preprocessing.
ā¢ Expertise in messaging queues such as Apache Kafka, RabbitMQ, and AWS SQS.
ā¢ Expertise in data labeling, annotation, and building data pipelines for training/retraining ML and CV models.
ā¢ Proven experience in production deployment of AI models with minimal guidance.
ā¢ Ability to mentor junior team members in AI/ML concepts and best practices.
Preferred Skills
ā¢ Experience in ITS / Smart Highway / Smart City domains.
ā¢ Understanding of traffic enforcement rules and incident classification workflows.
ā¢ Familiarity with C#, .NET, Node.js, or React.js for backend integration.
ā¢ Experience with sensor fusion (Radar, LiDAR, and Video).
ā¢ Knowledge of MLOps practices for model lifecycle management and automated deployment.
ā¢ Experience with cloud-based AI inference platforms (Azure, AWS, or GCP).
Education
ā¢ Bachelorās or Masterās degree in Computer Science, Artificial Intelligence, Electronics, or a related field.
ā¢ Professional certifications in AI/ML, Computer Vision, or Deep Learning will be an advantage.
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