Senior Machine Learning Engineer - Computer Vision

About the Role

Our client is seeking a highly skilled and motivated Senior Machine Learning Engineer specializing in Computer Vision to join their innovative team in Johannesburg . This role is crucial for developing cutting-edge AI solutions that will define the future of their products and services. You will be at the forefront of applying advanced deep learning techniques to solve complex real-world problems, working within a dynamic and collaborative environment that fosters creativity and technical excellence.

This position offers a unique opportunity to impact groundbreaking projects and contribute to the rapid advancement of AI technologies within a leading organization.

• Design, develop, and deploy state-of-the-art machine learning models for computer vision tasks, including object detection, image segmentation, and facial recognition.
• Conduct rigorous experimentation and evaluation of different algorithms and architectures to optimize model performance and accuracy.
• Collaborate with cross-functional teams of data scientists, software engineers, and product managers to integrate AI solutions into production systems.
• Stay abreast of the latest research and advancements in AI and machine learning , particularly in the domain of computer vision.
• Mentor junior engineers and contribute to building a strong technical culture within the team.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying machine learning models, with a strong focus on computer vision .
• Proficiency in Python and ML frameworks such as Tensor Flow, PyTorch, or Keras.
• Experience with large-scale datasets and distributed computing environments.
• Strong understanding of software engineering best practices, including version control and testing.

• Highly competitive salary and performance-based bonuses.
• Comprehensive health insurance and retirement savings plan.
• Opportunities for professional development, including conferences and training.
• A hybrid work model that balances in-office collaboration with remote flexibility.
• Access to cutting-edge technology and a stimulating work environment in Johannesburg .