Computer Vision Engineer - Deep Learning Architect

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health coverage

Annual leave

Professional development

Job summary

Placements24 is seeking a skilled Computer Vision Engineer in Port Elizabeth to design, build, and deploy advanced deep learning models for image and video analytics. You will work on visual intelligence systems, applying CNNs, object detection, and segmentation to real-world data in a collaborative, forward-looking environment.

The role demands a strong academic background with hands-on experience in deploying DL models, plus proficiency in Python and frameworks like TensorFlow, PyTorch, or

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field with CV/ML specialization.
• Proven experience in developing and deploying deep learning models for computer vision tasks.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of computer vision algorithms (CNNs, object detection, segmentation) and image processing techniques.
• Experience with computer vision libraries like OpenCV; cloud/MLOps experience is a plus.

Responsibilities

• Design, develop, and implement deep learning models for various computer vision applications.
• Build and maintain robust data ingestion, preprocessing, and augmentation pipelines for image and video data.
• Train, fine-tune, and optimize deep neural networks for performance and accuracy.
• Collaborate with cross-functional teams to integrate vision models into products.
• Stay current with the latest research and advancements in computer vision and deep learning.
• Evaluate and benchmark different model architectures and techniques.
• Deploy computer vision models into production environments, ensuring scalability and efficiency.
• Document designs, experiments, and results thoroughly.

Skills

Python programming

TensorFlow

PyTorch

Keras

OpenCV

CNNs

Object detection

Segmentation

Cloud platforms

MLOps

Education

Bachelor's or Master's degree in Computer Science or Electrical Engineering

Tools

OpenCV

AWS

Azure

GCP

Job description

About the Role

Our client, a prominent innovator in the AI and Emerging Technologies landscape, is seeking a skilled Computer Vision Engineer specializing in Deep Learning Architectures to join their team in Port Elizabeth. This role is integral to the development of next-generation visual intelligence systems. You will design, build, and deploy advanced deep learning models for a variety of computer vision tasks, including image recognition, object detection, segmentation, and video analysis. The ideal candidate possesses a strong academic background combined with hands-on experience in implementing and optimizing deep neural networks for visual data. This position offers an exciting opportunity to contribute to cutting-edge projects within a collaborative and forward-thinking environment located in Port Elizabeth. We are looking for a creative and technically adept individual who is passionate about pushing the boundaries of computer vision. The role demands a blend of theoretical knowledge and practical engineering skills, ensuring impactful contributions to our client's innovative solutions.

Key Responsibilities

• Design, develop, and implement deep learning models for various computer vision applications.
• Build and maintain robust pipelines for data ingestion, preprocessing, and augmentation for image and video data.
• Train, fine-tune, and optimize deep neural networks for performance and accuracy.
• Collaborate with cross-functional teams to define project requirements and integrate vision models into products.
• Stay current with the latest research and advancements in computer vision and deep learning.
• Evaluate and benchmark different model architectures and techniques.
• Deploy computer vision models into production environments, ensuring scalability and efficiency.
• Contribute to the technical roadmap and strategy for computer vision initiatives.
• Document technical designs, experiments, and results thoroughly.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision or Machine Learning.
• Proven experience in developing and deploying deep learning models for computer vision tasks.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of computer vision algorithms (e.g., CNNs, object detection, segmentation) and image processing techniques.
• Experience with computer vision libraries like OpenCV.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Solid foundation in mathematics, including linear algebra, calculus, and probability.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and teamwork abilities.

Benefits

• Competitive salary and potential for performance-based incentives.
• Comprehensive medical, dental, and vision coverage.
• Generous annual leave and company holidays.
• Opportunities for professional growth through training and attending industry conferences.
• Dynamic and innovative work environment in Port Elizabeth.
• Retirement savings plan with company contributions.
• Support for continuous learning and skill development.
• Collaborative team culture focused on cutting-edge AI solutions.