Computer Vision Engineer Freelancer
Experience Required:
2 - 4 Years
Requirement:
We are looking for a skilled Computer Vision Freelancer to join our team and work on innovative, high-impact projects across diverse domains. In this role, you will be responsible for designing and deploying computer vision models and algorithms to solve real-world challenges. You'll collaborate closely with our cross-functional team to create scalable, AI-powered solutions in a fast-paced and innovation-led environment. If you’re passionate about using vision technology to drive meaningful change, we’d love to work with you.
Roles & Responsibilities
Develop and implement computer vision models and algorithms for real-world applications (e.g., image recognition, object detection, tracking, segmentation).
Collaborate with product and development teams to integrate vision solutions into platforms and applications.
Optimize and improve the performance of existing vision models with a focus on accuracy, scalability, and efficiency.
Work with large-scale image datasets, process and analyze visual data, and extract meaningful insights.
Conduct research to stay up-to-date with the latest advancements in computer vision and machine learning.
Troubleshoot and debug issues related to model performance, deployment, and real-time inference.
Document your work clearly for internal use and future development references.
Qualifications
3–4 years of professional experience in computer vision, machine learning, or a related field
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (preferred)
Technical Skills
Proficiency in Python
Experience with computer vision libraries: OpenCV, TensorFlow, Keras, PyTorch
Deep learning models for classification, object detection, and segmentation
Image processing techniques: edge detection, feature extraction, color space manipulation
Data augmentation and handling large image datasets
Experience deploying models in real-time or production environments
Familiarity with version control tools like Git
Experience with ROS (Robot Operating System) or other robotic development tools (preferred)
Background in industrial automation or real-time computer vision systems (preferred)
Familiarity with cloud platforms such as AWS, GCP, or Azure (model deployment)
Functional Skils
Strong problem-solving and debugging skills
High attention to detail
Ability to work independently and manage deadlines
Strong time management and delivery ownership
Excellent written and verbal communication skills
Clear documentation and reporting abilities