Computer Vision ML Engineer — Real-Time Edge Deployments

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

Benefits offered by this job

Competitive salary package

Medical and retirement benefits

Access to cutting-edge hardware and AI

Job summary

Placements24 in Gauteng seeks a skilled Machine Learning Engineer specialized in Computer Vision to join its AI & Emerging Technologies team in Tembisa. You will develop and deploy vision-based AI solutions for image recognition, object detection, and video analysis.

Ideal candidates have a strong background in Python, OpenCV, TensorFlow or PyTorch, and experience deploying models on edge or cloud platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on AI or ML.
• Proven experience in developing and deploying computer vision models using frameworks like OpenCV, TensorFlow, or PyTorch.
• Strong proficiency in Python and experience with libraries (NumPy, SciPy, Pandas).
• Solid understanding of image processing techniques, feature extraction, and deep learning architectures for vision tasks.

Responsibilities

• Design, develop, and implement state-of-the-art computer vision models and algorithms.
• Train and fine-tune ML models using large image and video datasets.
• Integrate CV solutions into existing or new product pipelines and applications.
• Optimize model performance for real-time processing on edge devices or cloud platforms.
• Collaborate with software engineers and data scientists to ensure seamless integration and functionality.
• Document findings and methodologies from experiments.

Skills

Python

Computer Vision

Team collaboration

Edge deployment

Education

Bachelor's or Master's in CS/Engineering

Tools

OpenCV

TensorFlow

PyTorch

NumPy

Pandas

SciPy

Job description

Placements24 in Gauteng seeks a skilled Machine Learning Engineer specialized in Computer Vision to join its AI & Emerging Technologies team in Tembisa. You will develop and deploy vision-based AI solutions for image recognition, object detection, and video analysis.

Ideal candidates have a strong background in Python, OpenCV, TensorFlow or PyTorch, and experience deploying models on edge or cloud platforms.