The RoleAs a Computer Vision Engineer, you'll be working with AI, deep learning, and real-world applications where you will be responsible for building systems that can interpret and understand visual data.
ResponsibilitiesDesign, develop, and deploy computer vision models for real-world applicationsBuild and optimize image and video processing pipelinesDevelop and train deep learning models (e.g., object detection, segmentation, classification)Work with large-scale datasets for training, validation, and testingImplement data preprocessing, augmentation, and labeling strategiesOptimize models for performance, scalability, and latency (edge or cloud deployment)Collaborate with data engineers and ML engineers to productionize modelsIntegrate vision solutions into broader software systems and APIsEnsure robustness, accuracy, and reliability of deployed models
Your Profile2–5+ years of experience in Computer Vision or Machine LearningStrong programming skills in PythonExperience with deep learning frameworks (TensorFlow, PyTorch, or something similar)Solid understanding of computer vision techniques (CNNs, transformers, image processing)Experience with libraries such as OpenCV, scikit-image, or similarExperience working with large datasets and annotation toolsFamiliarity with model deployment (Docker, REST APIs, or edge devices)Experience with cloud platforms (AWS, Azure, or GCP) is a plusUnderstanding of MLOps practices is a plusStrong problem-solving skills and ability to work in an applied environment
The OfferCompetitive salary and benefitsHybrid work environment (3 days in the office)Opportunity to work on impactful, real-world AI applicationsStrong focus on technical growth and innovation with opportunity to grow within the companyCollaborative, fast-moving engineering culture
If this opportunity excites you, apply today or send your CV and a short cover letter to ryan.martin@vividresourcing.com