AI Data Scientist - Computer Vision

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.Position: AI Data Scientist/Engineer - Computer VisionLocation: Abu Dhabi, UAEDuration: 6 months extendableClient: Semi-Government EntityPayroll: DautomCore Capabilities Required:Computer vision for queue analytics, crowd monitoring, and anomaly detectionExperience with deep learning frameworks (TensorFlow / PyTorch)Video analytics and real-time inference pipelinesEdge optimization (TensorRT, DeepStream, Jetson)Experience in production deployment and model performance tuningResponsibilities: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 SkillsStrong 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.📩 Interested candidates can share their CVs at shaloo.rani@dautom.com or connect with Shaloo Rani on LinkedIn here