Published: July 12, 2026

Data Scientist

EXPERIENCE: 3 – 7 YEARS

Position Summary

As a Data Scientist on AIQ’s computer-vision team, you will research, build, and refine the AI models that power our video-analytics platform. Working closely with ML engineers and annotators, you will take models from experimentation through to deployment-ready performance on real-world industrial video.

Responsibilities

• Develop and fine-tune computer-vision models for object detection, tracking, and segmentation using PyTorch / TensorFlow and OpenCV.
• Work hands-on with modern architectures including YOLO, RF-DETR, and Vision-Language Models (VLMs), fine-tuning them for AIQ use cases.
• Curate, preprocess, and augment image and video datasets, maintaining a tight feedback loop with the annotation team.
• Train, tune, and evaluate models against rigorous metrics (mAP, precision, recall) and iterate to meet accuracy targets.
• Track experiments and results using tools such as MLflow or Weights & Biases.
• Apply model-optimisation techniques (TensorRT, ONNX) with real-world deployment constraints in mind.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3 – 7 years of applied machine-learning experience, with a focus on computer vision.
• Strong Python skills and hands-on experience with PyTorch or TensorFlow and OpenCV.
• Demonstrated experience with detection, tracking, and segmentation models (e.g. YOLO, RF-DETR).
• Experience fine-tuning Vision-Language Models is an advantage.
• Familiarity with experiment-tracking and model-optimisation workflows.