Infosys
Computer Vision
Bangalore, India
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hirly's read of this role
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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.
Responsibilities
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.
Technical requirements
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.
Additional responsibilities
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
Education
Bachelor of Engineering
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