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Placements24 in Polokwane is seeking a Senior Machine Learning Engineer specializing in Computer Vision to develop and deploy cutting-edge CV models for image recognition, object detection, and video analysis. You will collaborate with software engineers and product managers to create advanced AI solutions with real-world impact.
The hybrid role balances in-office work in Polokwane with remote tasks and requires a strong ML foundation and practical experience in building and scaling CV systems.
Our client, a leader in applied artificial intelligence, is seeking a talented Senior Machine Learning Engineer specializing in Computer Vision to join their innovative team. This role, located in **Polokwane**, will focus on developing and deploying cutting-edge computer vision models for a variety of applications, including image recognition, object detection, and video analysis. You will work within a dynamic R&D environment, collaborating with software engineers and product managers to bring advanced AI solutions to life. This is an excellent opportunity to contribute to projects with real-world impact and stay at the forefront of machine learning technology. We are looking for a candidate with a strong theoretical foundation in ML and deep learning, coupled with practical experience in building and optimizing computer vision systems. You will play a key role in designing, implementing, and scaling our AI-powered products. The hybrid work model offers a balance between collaborative in-office work and focused remote tasks, fostering productivity and well-being.
Key Responsibilities Design, develop, and implement state-of-the-art machine learning models for computer vision tasks (e.g., image classification, object detection, segmentation, tracking). Train, evaluate, and optimize deep learning models using large-scale datasets. Develop and maintain robust data pipelines for image and video processing. Collaborate with software engineers to integrate ML models into production systems. Research and stay abreast of the latest advancements in computer vision and deep learning techniques. Optimize model performance for speed, accuracy, and efficiency on various hardware platforms. Contribute to the design and architecture of ML systems and infrastructure. Mentor junior machine learning engineers and contribute to knowledge sharing within the team. Write clean, well-documented, and efficient code. Troubleshoot and debug ML models and pipelines. Requirements Master's or PhD in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning or Computer Vision. Minimum of 5 years of professional experience in machine learning engineering, with a strong emphasis on computer vision. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong programming skills in Python, along with experience in relevant libraries (e.g., OpenCV, NumPy, Scikit-learn). Solid understanding of fundamental computer vision concepts and algorithms. Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices. Experience in deploying ML models into production environments. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities. Experience with data augmentation techniques and handling large image/video datasets. BenefitsOur client offers a competitive salary, comprehensive benefits package including health insurance and retirement plans, and opportunities for professional development and continuous learning. This hybrid role allows for a flexible work arrangement, balancing in-office collaboration in **Polokwane** with remote work efficiency. You will be part of an exciting and rapidly growing field, working on challenging and impactful projects. Our client fosters a culture of innovation, encourages knowledge sharing, and supports career growth. Join a talented and passionate team dedicated to advancing the field of artificial intelligence and computer vision. We provide a supportive environment where your contributions are valued.