About the role
structured by ORIAs a Computer Vision Engineer – Developer, you will contribute to the development and maintenance of AI pipelines addressing key problems such as object detection, item tracking, recognition, and counting. Working under the guidance of senior engineers and data scientists, you’ll assist in implementing deep learning…
What you will do
- Contribute to the development and maintenance of AI pipelines addressing key problems such as object detection, item tracking, recognition, and counting
- Assist in implementing deep learning models, preparing datasets, and validating performance metrics in real-world scenarios
What they are looking for
- Basic understanding of synthetic data or 3D asset usage in training pipelines
- Familiarity with Git, Linux command line, and Jupyter Notebooks
- Interest in building a career in computer vision and AI for real-world automation
- Bachelor’s degree in Computer Science, Data Science, or a related technical field
- 1–3 years of experience or strong internship/projects in computer vision or ML model development
Full posting text
As a Computer Vision Engineer – Developer, you will contribute to the development and maintenance of AI pipelines addressing key problems such as object detection, item tracking, recognition, and counting. Working under the guidance of senior engineers and data scientists, you’ll assist in implementing deep learning models, preparing datasets, and validating performance metrics in real-world scenarios. This is an ideal role for early-career AI professionals who are passionate about CV and eager to grow through exposure to synthetic data, foundational models, and production-grade systems.
As a Computer Vision Engineer – Developer, you will contribute to the development and maintenance of AI pipelines addressing key problems such as object detection, item tracking, recognition, and counting. Working under the guidance of senior engineers and data scientists, you’ll assist in implementing deep learning models, preparing datasets, and validating performance metrics in real-world scenarios. This is an ideal role for early-career AI professionals who are passionate about CV and eager to grow through exposure to synthetic data, foundational models, and production-grade systems.
Basic understanding of synthetic data or 3D asset usage in training pipelines Familiarity with Git, Linux command line, and Jupyter Notebooks Interest in building a career in computer vision and AI for real-world automation Bachelor’s degree in Computer Science, Data Science, or a related technical field 1–3 years of experience or strong internship/projects in computer vision or ML model development
Employment type: Volunteer
Job function: Information Technology
Industries: IT Services and IT Consulting