Senior Computer Vision Scientist: Real-World AI

Astek Middle East; Dubai; On-site; AED 250,000 - 400,000; Full time

Job summary

Astek Middle East is seeking an experienced Data Scientist with strong hands-on expertise in computer vision and applied machine learning. You will develop and fine-tune vision-based AI models for object detection, tracking, and segmentation using PyTorch, TensorFlow, and OpenCV.

Responsibilities include curating datasets, training and evaluating models, tracking experiments with MLflow or Weights & Biases, and optimizing for deployment using TensorRT and ONNX.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3–7 years of hands-on applied Machine Learning experience with a strong focus on Computer Vision.
• Strong Python programming skills with PyTorch or TensorFlow and OpenCV.

Responsibilities

• Develop, train, and fine-tune computer vision models for object detection, object tracking, and image segmentation using PyTorch, TensorFlow, and OpenCV.
• Work hands-on with modern architectures, including YOLO, RF-DETR, and Vision-Language Models (VLMs).
• Curate, preprocess, clean, and augment image and video datasets in collaboration with annotation teams.
• Train, evaluate, and iteratively improve models against performance metrics such as mAP, precision, and recall.
• Track experiments, model versions, and performance results using MLflow or Weights & Biases.
• Optimise models for inference and deployment using TensorRT and ONNX, considering real-world deployment constraints.

Skills

Python programming

Computer Vision

Applied ML

Education

Bachelor's degree in CS/DS/ML

Master's degree in CS/DS/ML

Tools

PyTorch

TensorFlow

OpenCV

TensorRT

ONNX

MLflow

Weights & Biases

Job description

Astek Middle East is seeking an experienced Data Scientist with strong hands-on expertise in computer vision and applied machine learning. You will develop and fine-tune vision-based AI models for object detection, tracking, and segmentation using PyTorch, TensorFlow, and OpenCV.

Responsibilities include curating datasets, training and evaluating models, tracking experiments with MLflow or Weights & Biases, and optimizing for deployment using TensorRT and ONNX.