AI Data Scientist - Computer Vision
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Key skills for this role
About the Role
Dautom is seeking an experienced AI Data Scientist/Engineer specializing in Computer Vision for a 6-month contract with a semi-government entity in Abu Dhabi.
Key Skills for This Role
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 estimation, queue length estimation, anomaly detection, and event detection
- 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
Requirements
- 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
Full Job Posting
Position Overview
- 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 Vision
- Location: Abu Dhabi, UAE
- Duration: 6 months extendable
- Client: Semi Government Entity
- Payroll: Dautom
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, and 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.
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