Machine Learning Engineer - Computer Vision

About the Role

Our client is seeking a talented and motivated Machine Learning Engineer with a specialization in Computer Vision to join their innovative team in George . In this role, you will be at the forefront of developing and deploying advanced computer vision models that power next-generation products and services. You will work on challenging projects involving image recognition, object detection, and video analysis, contributing directly to the company's technological advancements.

This position offers an exciting opportunity to apply cutting-edge ML techniques in a dynamic, growth-oriented company that values creativity and technical expertise.

• Develop, train, and deploy machine learning models for various computer vision tasks, including image classification, object detection, and segmentation.
• Optimize model performance and inference speed for real-time applications.
• Design and implement robust data pipelines for training and evaluating computer vision models.
• Collaborate with software engineers to integrate ML models into production environments.
• Conduct research into new computer vision techniques and algorithms to enhance product capabilities.
• Maintain and improve existing ML systems, ensuring scalability and reliability.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing and deploying computer vision models using frameworks like OpenCV, Tensor Flow, or PyTorch.
• Strong understanding of image processing techniques and deep learning architectures for vision.
• Proficiency in Python programming and experience with ML libraries.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment.
• Ability to work effectively in a fast-paced, collaborative team setting.

• Competitive salary package with potential for bonuses.
• Fully remote work arrangement offering excellent flexibility.
• Comprehensive health and wellness benefits.
• Opportunities for continuous learning and professional growth.
• Access to a collaborative and innovative work culture.