AI Data Scientist - Computer Vision

Overview

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:

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 v
• ideo 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