Role Description

This is a full-time, on-site Computer Vision Engineer role based in Abroad .

The Computer Vision

Engineer will design, develop, and implement computer vision algorithms and systems to support internal tools, automation, and data processing workflows. Day-to-day tasks include building and optimizing image and video analysis pipelines, working with pattern recognition models, integrating vision modules into robotics or other software products, and collaborating with cross-functional teams to translate business requirements into technical solutions. The role also involves data collection and preprocessing, model training and evaluation, performance tuning, and documentation of methodologies and results. The engineer will be expected to stay updated with advances in computer vision and related fields to propose improvements and innovative solutions.

Qualifications
Robust foundation in Computer Science and Computer Vision, with practical experience implementing vision algorithms.




Applied skills in Pattern Recognition and Data Science for building and evaluating models on real-world datasets.
Experience working with Robotics or automated systems where computer vision is integrated into physical or simulated environments.
Proficiency in programming languages commonly used in computer vision (such as Python, C++, or similar) and relevant libraries/frameworks (e.g., OpenCV, TensorFlow, PyTorch).
Bachelor’s or Master’s degree in Computer Science, Electronics, Robotics, Data Science, or a related technical field.
Ability to analyze complex problems, design effective solutions, and communicate technical concepts clearly to non-technical stakeholders.
Experience with version control, software development best practices, and collaborative project work.
Familiarity with deploying models to production settings and optimizing for performance and scalability is an advantage.

📌 Computer Vision Engineer Bhubaneswar (India)
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📍 India