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Senior AI​/Machine Learning Engineer; Computer Vision

Remote / Online - Candidates ideally in
Stellenbosch, 7600, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position: Senior AI/Machine Learning Engineer (Computer Vision)
About the Role

Our client, a pioneering technology firm situated in the heart of the Winelands in Stellenbosch, Western Cape , is seeking a highly skilled Senior AI/Machine Learning Engineer specializing in Computer Vision. This role is instrumental in developing advanced AI solutions that interpret and analyze visual data for a range of innovative applications. You will lead projects focused on object detection, image recognition, video analysis, and related computer vision tasks, contributing significantly to our client's technological advancements.

This is an exciting opportunity to work at the forefront of AI innovation within a dynamic research and development environment. The ideal candidate possesses a Ph.D. or Master's degree in a relevant field, extensive experience with deep learning frameworks, and a proven track record of delivering robust computer vision solutions. Your expertise will be crucial in shaping the future of intelligent visual systems.

The role requires on-site presence for collaborative sessions in Stellenbosch , with flexibility for remote work.

Key Responsibilities
  • Design, develop, and deploy sophisticated machine learning models for computer vision tasks, including object detection, image segmentation, facial recognition, and scene understanding.
  • Build and maintain robust data pipelines for collecting, cleaning, and labeling large-scale image and video datasets.
  • Implement and optimize deep learning algorithms using frameworks such as Tensor Flow, PyTorch, or Keras.
  • Conduct rigorous experimentation and evaluation of models to ensure accuracy, efficiency, and scalability.
  • Collaborate with cross-functional teams (software engineers, product managers) to integrate AI/ML solutions into products and services.
  • Stay abreast of the latest research and advancements in computer vision and machine learning.
  • Develop and implement strategies for model deployment, monitoring, and continuous improvement.
  • Mentor junior engineers and contribute to the technical growth of the team.
  • Document algorithms, methodologies, and experimental results thoroughly.
  • Present findings and technical proposals to stakeholders and research communities.
Requirements
  • Ph.D. or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of professional experience in AI/ML engineering, with a strong specialization in Computer Vision.
  • Proven expertise in developing and deploying deep learning models for various computer vision applications.
  • Hands‑on experience with major deep learning frameworks (Tensor Flow, PyTorch, Keras).
  • Proficiency in programming languages such as Python, C++, and relevant libraries (e.g., OpenCV, Scikit‑learn).
  • Strong understanding of algorithms, data structures, and statistical modeling.
  • Experience with cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
  • Excellent analytical, problem‑solving, and critical thinking skills.
  • Strong communication and collaboration abilities, with the capacity to explain complex technical concepts.
  • Publications in top-tier AI/ML conferences or journals are a significant advantage.
Benefits

Our client offers a competitive salary commensurate with experience, excellent health and wellness benefits, and significant opportunities for professional development and research in Stellenbosch, Western Cape . You will work with a world‑class team on challenging and impactful AI projects, utilizing state‑of-the-art computational resources. The company fosters a collaborative and intellectually stimulating environment, promoting innovation and continuous learning. This hybrid role provides flexibility while ensuring close collaboration with colleagues on‑site.

Position Requirements
10+ Years work experience
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