Machine Learning Engineer - Computer Vision

Placements24

Gqeberha

Hybrid

ZAR 900,000 - 1,300,000

Full time

9 days ago

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Benefits offered by this job

Hybrid work model
Health benefits
Learning & growth opportunities
Performance-based incentives

Job summary

Placements24 is seeking a creative and technically proficient Machine Learning Engineer specializing in Computer Vision in Port Elizabeth. You will develop and deploy CV models for image recognition, object detection, and video analysis, spanning the entire ML lifecycle from data prep to deployment.

Join a collaborative AI division to apply your CV expertise, optimize performance, and stay ahead with current research while benefiting from a hybrid work model and opportunities for growth.

Qualifications

  • Bachelor's or Master's degree in CS/Engineering with AI/Computer Vision focus.
  • Minimum 3+ years of hands-on ML experience with a focus on computer vision.
  • Proficiency in Python and deep learning libraries (TensorFlow, PyTorch, Keras, OpenCV).
  • Experience with image classification, object detection, segmentation and tracking.

Responsibilities

  • Design and implement advanced computer vision models using deep learning.
  • Prepare and annotate large image and video datasets for training and validation.
  • Optimize models for speed and accuracy across hardware constraints.
  • Integrate CV models into existing software systems and tools.
  • Collaborate with cross-functional teams to define requirements and deliver AI solutions.
  • Stay updated with latest CV and DL research and apply it to projects.

Skills

Computer Vision
Machine Learning
Analytical thinking

Education

Bachelor's or Master's in CS/Engineering (AI/Computer Vision focus)

Tools

TensorFlow
PyTorch
Keras
OpenCV
Python

Job description

About the Role

Our client is seeking a creative and technically proficient Machine Learning Engineer specializing in Computer Vision to join their innovative AI & Emerging Technologies division in Port Elizabeth . This role focuses on developing and deploying cutting‑edge computer vision models for a variety of applications, from image recognition to object detection and video analysis. You will work within a collaborative environment, contributing to the entire ML lifecycle, from data preprocessing and model training to deployment and performance optimization. This is an excellent opportunity to apply your expertise in a practical, impactful setting.

Key Responsibilities
  • Design, develop, and implement advanced computer vision algorithms and models using deep learning frameworks.
  • Process and annotate large image and video datasets for model training and validation.
  • Optimize model performance for speed and accuracy, considering deployment constraints on various hardware.
  • Integrate computer vision models into existing software systems and applications.
  • Collaborate with cross-functional teams to define project requirements and deliver innovative AI solutions.
  • Stay current with the latest research and advancements in computer vision and deep learning.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on AI or Computer Vision.
  • 3+ years of hands‑on experience in machine learning , with a strong emphasis on computer vision.
  • Proficiency in Python and deep learning libraries such as TensorFlow, PyTorch, Keras, and OpenCV.
  • Experience with common computer vision tasks like image classification, object detection, segmentation, and tracking.
  • Familiarity with cloud platforms and containerization technologies is a plus.
  • Strong analytical and problem‑solving skills, with the ability to work independently and as part of a team.
Benefits
  • Competitive salary and potential for performance-based incentives.
  • Hybrid work model supporting work‑life balance in Port Elizabeth .
  • Access to cutting‑edge AI research and development tools.
  • Comprehensive health and wellness benefits package.
  • Opportunities for continued learning and professional growth in AI.
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