Infosys—Computer Vision

Job description

Description: 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. 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. 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. Skills: 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.