Machine Learning Engineer - Computer Vision

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

About the Role

Our client, a leader in AI & Emerging Technologies, is seeking a talented Machine Learning Engineer specializing in Computer Vision to join their team. This exciting role is based in Tembisa, Gauteng and involves developing and deploying advanced vision systems for a variety of applications. You will work on challenging problems, contributing to innovative solutions that leverage deep learning for image and video analysis. The company prides itself on fostering an environment of continuous innovation and technical excellence, providing ample opportunities for professional growth and impactful work. You will be instrumental in building the next generation of intelligent visual systems.

Key Responsibilities

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

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Strong practical experience in machine learning, with a focus on computer vision.
• Proficiency in Python and ML libraries such as TensorFlow, Keras, PyTorch, and OpenCV.
• Experience with data augmentation techniques and model optimization.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong understanding of image processing techniques.
• Excellent programming and debugging skills.
• Ability to work independently and as part of a collaborative team.
• Experience with data annotation and management is a plus.

Benefits

This position comes with a highly competitive salary and a comprehensive benefits package, including health coverage and retirement contributions. Our client is committed to employee development, offering access to training programs, workshops, and opportunities to attend industry conferences. You will be part of a forward-thinking company in Tembisa, Gauteng , working on impactful projects with a talented team. Enjoy a dynamic work environment that encourages innovation and collaboration.