We are looking for experienced Computer Vision and AI Engineers to support the development, optimization, and deployment of cutting-edge AI/ML solutions for CCTV video analytics in an on-premises environment.
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Core Capabilities Required:
- Computer vision for queue analytics, crowd monitoring, and anomaly detection
- Experience with deep learning frameworks (TensorFlow / PyTorch)
- Video analytics and real-time inference pipelines
- Edge optimization (TensorRT, DeepStream, Jetson)
- Experience in production deployment and model performance tuning
Responsibilities:
- Analyze, prepare, and label video and operational data for model development.
- Develop, train, validate, and optimize computer vision and machine learning models for:
- Wait-time and queue-length estimation.
- Detection of operational issues, anomalies, and predefined events.
- Performance monitoring and continuous model improvement.
- Optimize models for deployment on NVIDIA edge devices (e.g., Jetson platform) in on-premises environments.
- Collaborate with business and technical teams to define use cases, KPIs, and model requirements.
- Support model deployment, testing, monitoring, and performance tuning in production.
- Document methodologies, model performance, and deployment processes.
Required Skills:
- Strong experience in Data Science, Machine Learning, and Computer Vision.
- Proficiency in Yolo, Python, TensorFlow, PyTorch, and Scikit-learn.
- Experience with video analytics, object detection, tracking, and image processing.
- Hands-on experience with NVIDIA AI ecosystem, including Jetson devices, TensorRT, DeepStream, and model optimization for edge deployment.
- Experience deploying AI/ML solutions in on-premises environments.
- Knowledge of MLOps practices, model monitoring, and performance optimization.
- Experience working with CCTV/video surveillance data is highly preferred.
- Ability to work independently and engage with business and technical stakeholders.
Location: Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Contract (Duration: 6 months, extendable)
Language Requirements: Not specified.
Contact: Interested candidates can share their CVs at shaloo.rani@the company.
