Data Scientist, Computer Vision for Real-World AI

Placements24; Rustenburg; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive salary with performance-in

Health and wellness programs

Professional growth support

Access to HPC infrastructure

Collaborative research environment

Job summary

Placements24 in Rustenburg is seeking a Data Scientist specializing in Computer Vision to join our innovative team. You will develop and deploy vision-based AI solutions, work with engineers and domain experts, and tackle real-world visual data challenges.

The role requires advanced degrees and hands-on experience with DL models for image tasks, Python and CV libraries, plus data augmentation and optimization. You will contribute to cutting-edge research in a collaborative environment.

Qualifications

• Master's degree or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision.
• Demonstrated experience with deep learning models for image classification, object detection, segmentation, etc.
• Proficiency in Python and libraries like OpenCV, TensorFlow, or PyTorch.
• Experience with data augmentation and model optimization techniques.

Responsibilities

• Develop and implement computer vision algorithms using deep learning frameworks.
• Process and analyze large datasets of images and videos to train and evaluate models.
• Collaborate with cross-functional teams to define project requirements and deliverables.
• Deploy computer vision models into production environments, ensuring optimal performance.
• Stay abreast of the latest advancements in computer vision research and techniques.

Skills

Computer Vision

Deep Learning

Analytical Skills

Problem Solving

Education

Master's or PhD in CS/EE with CV focus

Tools

Python

OpenCV

TensorFlow

PyTorch

Job description

Placements24 in Rustenburg is seeking a Data Scientist specializing in Computer Vision to join our innovative team. You will develop and deploy vision-based AI solutions, work with engineers and domain experts, and tackle real-world visual data challenges.

The role requires advanced degrees and hands-on experience with DL models for image tasks, Python and CV libraries, plus data augmentation and optimization. You will contribute to cutting-edge research in a collaborative environment.