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Senior Machine Learning Engineer - Computer Vision

Remote / Online - Candidates ideally in
Gqeberha, Port Elizabeth, 6000, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-31
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Location: Gqeberha

About the Role

Our client, a forward-thinking technology company, is seeking an accomplished Senior Machine Learning Engineer with a specialization in Computer Vision . This fully remote position allows you to work from anywhere, contributing to groundbreaking AI projects from your own environment. You will be responsible for designing, developing, and deploying cutting-edge computer vision models and systems that drive innovation across various applications.

This role demands a deep understanding of machine learning algorithms, deep learning frameworks, and the practical application of computer vision techniques. You will collaborate with a talented team of engineers and data scientists to tackle complex challenges and deliver scalable, high-performance solutions. We are looking for a self-motivated individual who excels in a remote setting and is passionate about pushing the boundaries of artificial intelligence.

This is a unique opportunity to make a significant impact on the future of AI technology, working on challenging problems with a global perspective. Your expertise in computer vision will be instrumental in developing intelligent systems that can 'see' and interpret the world.

Key Responsibilities
  • Design, develop, train, and deploy advanced machine learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition, image generation).
  • Implement and optimize deep learning architectures using frameworks like Tensor Flow, PyTorch, or Keras.
  • Develop data augmentation strategies and preprocessing pipelines for large image and video datasets.
  • Collaborate with software engineers to integrate ML models into production systems and applications.
  • Conduct rigorous experimentation and evaluation of model performance, ensuring robustness and scalability.
  • Stay abreast of the latest research and advancements in machine learning and computer vision.
  • Contribute to the overall ML infrastructure and MLOps practices.
  • Communicate complex technical concepts and findings to both technical and non-technical audiences.
  • Mentor junior engineers and contribute to a culture of technical excellence.
Requirements
  • Master's degree or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field with a focus on Machine Learning or Computer Vision.
  • Minimum of 5 years of professional experience in machine learning engineering, with a significant focus on computer vision.
  • Proven experience developing and deploying production-level computer vision models.
  • Strong proficiency in Python and deep learning frameworks (e.g., Tensor Flow, PyTorch).
  • Solid understanding of classical computer vision techniques and algorithms.
  • Experience with data processing, feature engineering, and model evaluation for image and video data.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication and collaboration skills, essential for effective remote teamwork.
  • Experience with MLOps and CI/CD for ML pipelines is a plus.
Benefits
  • Our client offers a highly competitive salary and an attractive stock option plan.
  • Comprehensive health, dental, and vision insurance are provided.
  • We offer a generous 401k matching program and ample paid time off.
  • Continuous learning is encouraged through access to online courses, industry conferences, and internal workshops.
  • As a fully remote role, you have the flexibility to work from your preferred location, supported by a technology stipend to ensure a productive home office setup.
Position Requirements
10+ Years work experience
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