Computer Vision Engineer

Position Overview

Red Alpha Cybersecurity seeks a technically proficient Computer Vision Engineer specialized in computer vision, machine learning, and software development to create and integrate advanced vision solutions into functional software systems.

Key Responsibilities

• Design, train, assess, and refine deep learning and computer vision models that analyze images and videos.
• Construct comprehensive computer vision workflows encompassing data handling, inference, post-processing, and visualization.
• Develop software components including backend services, APIs, and user interfaces to operationalize AI models.
• Manage image datasets by performing annotation, augmentation, preprocessing, and performance evaluation.
• Enhance both model efficacy and overall system performance for deployment readiness.
• Collaborate closely with researchers, engineers, and other stakeholders to convert application needs into executable technical solutions.

Candidate Requirements

• Possession of a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or related fields.
• Demonstrated expertise in Computer Vision and Deep Learning methodologies.
• Proficient programming skills with Python.
• Hands-on experience with PyTorch or TensorFlow as well as computer vision libraries like OpenCV.
• Experience with key computer vision challenges including classification, object detection, segmentation, anomaly detection, and image feature extraction.
• Strong software engineering capabilities along with excellent problem-solving aptitude.
• Track record of developing full-fledged applications and platforms, beyond isolated machine learning models.
• Self-driven with the ability to turn research innovations into practical and scalable software solutions.

Preferred Qualifications

• A Master’s degree is an advantage.
• Experience deploying AI and computer vision solutions in production or operational settings.
• Familiarity with RESTful APIs, database systems, containerization technologies like Docker, version control tools such as Git, Linux environments, and GPU acceleration.
• Experience building web applications using frameworks such as FastAPI, Flask, Streamlit, React, or comparable technologies.
• Knowledge of Vision-Language Models, foundation models, or generative AI approaches.
• Background in industrial computer vision applications including visual inspection, manufacturing, or automation sectors.

Salary

Compensation will be aligned with the applicant's experience and qualifications.

Additional Information

By applying for this role, candidates consent to the collection, usage, and disclosure of their personal data by Red Alpha Cybersecurity for employment processing and data analysis purposes as per their privacy policy.