Machine Learning Engineer - Computer Vision

Placements24; LegKraal Gate; Hybride; ZAR 650 000 - 900 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health insurance

Vision insurance

Dental insurance

Remote-friendly

Professional development

Résumé du poste

Placements24 is seeking a skilled Machine Learning Engineer specializing in Computer Vision to design, develop, and deploy state-of-the-art vision models in a fully remote setting.

You will work on image recognition, object detection, and video analysis, collaborating with a remote team, and staying current with research while delivering production-ready solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of hands-on experience in machine learning, with a focus on computer vision.
• Proficiency in Python and libraries such as OpenCV, TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of image processing, deep learning architectures (CNNs, RNNs), and relevant frameworks.
• Experience with data augmentation, model optimization, and deployment strategies.
• Ability to work independently and effectively in a remote team setting.

Responsabilités

• Develop, train, and evaluate state-of-the-art computer vision models using deep learning techniques.
• Implement algorithms for image and video processing, feature extraction, and pattern recognition.
• Integrate computer vision solutions into production systems and applications.
• Optimize model performance, inference speed, and scalability for real-time applications.
• Collaborate with cross-functional teams to define project requirements and deliver effective solutions.
• Stay current with the latest research and advancements in the field of computer vision and machine learning.

Connaissances

Python

Image processing

CNNs

RNNs

Deployment

Remote collaboration

Formation

Bachelor's or Master's degree

Outils

OpenCV

TensorFlow

PyTorch

scikit-learn

Description du poste

Our client is seeking a skilled Machine Learning Engineer specializing in Computer Vision to join their dynamic and innovative team. This role is fully remote, offering you the opportunity to work on exciting projects from your preferred location. You will be responsible for designing, developing, and deploying advanced computer vision models and systems for a variety of applications, including image recognition, object detection, and video analysis. This position is perfect for an engineer passionate about visual intelligence and its transformative potential, working within a collaborative, remote-first environment.

Key Responsibilities

• Develop, train, and evaluate state-of-the-art computer vision models using deep learning techniques.
• Implement algorithms for image and video processing, feature extraction, and pattern recognition.
• Integrate computer vision solutions into production systems and applications.
• Optimize model performance, inference speed, and scalability for real-time applications.
• Collaborate with cross-functional teams to define project requirements and deliver effective solutions.
• Stay current with the latest research and advancements in the field of computer vision and machine learning.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 3+ years of hands‑on experience in machine learning, with a focus on computer vision.
• Proficiency in Python and relevant libraries such as OpenCV, TensorFlow, PyTorch, and scikit‑learn.
• Strong understanding of image processing, deep learning architectures (CNNs, RNNs), and relevant frameworks.
• Experience with data augmentation, model optimization, and deployment strategies.
• Ability to work independently and effectively in a remote team setting.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Flexible remote working arrangements.
• Opportunities for continuous learning and professional development.
• Access to advanced computing resources and cutting-edge technologies.
• A vibrant and supportive remote team culture focused on innovation.