Machine Learning Engineer - Computer Vision

Placements24; Durban; On-site; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Professional development

Durban-based team

Job summary

Placements24 in Durban is seeking a talented Machine Learning Engineer specializing in computer vision. You will develop and deploy visual recognition systems, collaborating with hardware and software teams for embedded and real-time applications.

The ideal candidate has 3+ years in machine learning for CV, strong Python skills, and experience with CNNs, Transformers, PyTorch or TensorFlow. The role offers a dynamic, growth-focused environment in a leading tech firm.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML.
• 3+ years of professional experience in machine learning, specifically in computer vision.
• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or OpenCV.
• Solid understanding of deep learning architectures for computer vision (CNNs, RNNs, Transformers).
• Experience with image processing techniques and handling large visual datasets.
• Familiarity with C++ and optimization for performance-critical applications is a plus.

Responsibilities

• Develop, train, and deploy state-of-the-art machine learning models for computer vision tasks such as object detection, image segmentation, and facial recognition.
• Design and implement efficient image processing pipelines and data augmentation strategies to improve model robustness and accuracy.
• Collaborate with hardware teams to optimize models for embedded systems and real-time processing applications.
• Integrate computer vision models into existing software frameworks and product lines.
• Monitor model performance in production, identify areas for improvement, and implement necessary updates.
• Conduct research into new computer vision techniques and algorithms, proposing innovative solutions.

Skills

Python

ML frameworks

OpenCV

CNNs

Transformers

Education

Bachelor's or Master's in CS/EE/related

Tools

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking a talented Machine Learning Engineer with a specialization in Computer Vision to join their dynamic team in Durban. This role is central to developing and deploying sophisticated visual recognition and analysis systems that will power innovative product features. You will be part of a collaborative environment, working closely with hardware and software engineers to bring AI-driven visual intelligence to life. This is an excellent opportunity for an engineer passionate about computer vision to contribute to impactful projects and grow their career within a leading technology firm.

Key Responsibilities

• Develop, train, and deploy state-of-the-art machine learning models for computer vision tasks such as object detection, image segmentation, and facial recognition.


• Design and implement efficient image processing pipelines and data augmentation strategies to improve model robustness and accuracy.


• Collaborate with hardware teams to optimize models for embedded systems and real-time processing applications.


• Integrate computer vision models into existing software frameworks and product lines.


• Monitor model performance in production, identify areas for improvement, and implement necessary updates.


• Conduct research into new computer vision techniques and algorithms, proposing innovative solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML.


• 3+ years of professional experience in machine learning, specifically in computer vision.


• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or OpenCV.


• Solid understanding of deep learning architectures for computer vision (CNNs, RNNs, Transformers).


• Experience with image processing techniques and handling large visual datasets.


• Familiarity with C++ and optimization for performance-critical applications is a plus.

Benefits

• Competitive salary and comprehensive benefits package.


• Opportunity to work on cutting-edge computer vision technology.


• Professional development and training programs.


• A collaborative and innovative work environment located in Durban.


• Potential for career advancement within the organization.