Remote Computer Vision AI Research Engineer

Placements24

Gqeberha

Hybrid

ZAR 800,000 - 1,200,000

Full time

9 days ago

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Benefits offered by this job

Health insurance
Home office stipend
Professional development
Fully remote role

Job summary

Placements24 is seeking a highly skilled Remote AI Research Engineer focused on Computer Vision. You will lead research, prototyping, and production-ready CV models while collaborating with a globally distributed team.

Ideal candidates hold a PhD or Master’s in CS/EE with a CV/ML focus, and have 3+ years of CV R&D experience, strong Python and DL framework skills, and cloud platform familiarity. Remote work with global impact.

Qualifications

  • PhD or Master’s in CS/EE with CV/ML focus.
  • 3+ years of hands-on computer vision research or development.
  • Proficiency in Python and DL frameworks (TensorFlow, PyTorch, Keras).
  • Strong experience with OpenCV and image processing techniques.
  • Experience with cloud platforms (AWS/GCP/Azure).

Responsibilities

  • Research, design, and implement state-of-the-art CV algorithms.
  • Develop DL models for image recognition, detection, and segmentation.
  • Process and analyze large image and video datasets.
  • Prototype and validate new CV techniques.
  • Collaborate with engineers to integrate CV models into apps.
  • Stay up-to-date with CV/deep learning advancements.
  • Optimize models for performance and efficiency.
  • Document findings and present results to the team.

Skills

Python
Deep learning
TensorFlow
PyTorch
OpenCV

Education

PhD in CS/EE (CV focus)
Masters in CS/EE (CV focus)

Tools

AWS
Keras
GCP
Azure

Job description

Placements24 is seeking a highly skilled Remote AI Research Engineer focused on Computer Vision. You will lead research, prototyping, and production-ready CV models while collaborating with a globally distributed team.

Ideal candidates hold a PhD or Master’s in CS/EE with a CV/ML focus, and have 3+ years of CV R&D experience, strong Python and DL framework skills, and cloud platform familiarity. Remote work with global impact.

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