Key Responsibilities

• Design, develop, and deploy production computer vision systems
• Implement object detection, segmentation, and classification models using YOLO, TensorFlow, and PyTorch
• Work with OpenCV for image processing and pipeline development
• Containerize and deploy AI models using Docker and REST APIs
• Optimize models for production using ONNX and TensorRT
• Manage ML lifecycle using MLflow and MLOps best practices
• Write performance-critical components in C++ where required
• Collaborate with cross-functional teams to integrate vision solutions into production workflows

Requirements

• 2–4 years of experience in computer vision or production AI systems
• Strong proficiency with OpenCV
• Hands-on experience with TensorFlow and/or PyTorch
• Experience training and deploying YOLO models
• Proficiency with Docker for containerization
• Experience building and deploying models via REST APIs
• Preferred: Experience with YOLOv5 and/or YOLOv8
• Preferred: Familiarity with MLflow and MLOps workflows
• Preferred: Experience with ONNX and/or TensorRT for model optimization
• Preferred: C++ programming skills
• Bachelor's degree in Computer Science, Software Engineering, or a related field

Skills Required