Machine Learning Engineer, Computer Vision & Deployment

Placements24; Kempton Park; On-site; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Health coverage

Retirement contributions

Job summary

Placements24 is seeking a talented Machine Learning Engineer specializing in Computer Vision to join our client in Gauteng. Based in Tembisa, you will develop and deploy advanced vision systems, leveraging deep learning for image and video analysis within production pipelines.

You will work with Python and leading ML libraries to build scalable solutions, collaborate with data scientists, and stay current with cutting-edge CV research.

Qualifications

• Degree in Computer Science, Engineering or related field.
• Strong practical experience in computer vision and ML.
• Proficiency in Python and ML libraries (TensorFlow/Keras/PyTorch/OpenCV).
• Experience with data augmentation and model optimization.

Responsibilities

• Develop, train, and optimize deep learning models for computer vision tasks such as object detection, segmentation, and facial recognition.
• Implement and fine-tune state-of-the-art computer vision algorithms.
• Process and analyze large image and video datasets.
• Deploy ML models into production with scalable, reliable pipelines.
• Collaborate with software engineers and data scientists to integrate ML solutions into product pipelines.
• Conduct experiments and evaluate model performance.
• Keep up-to-date with CV and ML research trends.
• Document code, methodologies, and experiments.

Skills

Computer Vision

Deep Learning

Python

Model Optimization

Experimentation

Education

Bachelor's or Master's in CS/Engineering

Tools

TensorFlow

Keras

PyTorch

OpenCV

AWS

Job description

Placements24 is seeking a talented Machine Learning Engineer specializing in Computer Vision to join our client in Gauteng. Based in Tembisa, you will develop and deploy advanced vision systems, leveraging deep learning for image and video analysis within production pipelines.

You will work with Python and leading ML libraries to build scalable solutions, collaborate with data scientists, and stay current with cutting-edge CV research.