VAYUZ Technologies - AI Engineer - Computer Vision

Key Responsibilities

• Design, train, and optimize deep learning models (CNNs, SSD and related variants) for image classification and object detection.
• Implement and maintain end-to-end computer vision pipelines using OpenCV or equivalent libraries.
• Develop, deploy, and manage models using Azure Custom Vision and other cloud platforms.
• Handle full model lifecycle: versioning, repository management, CI/CD integration, and OTA deployment. - Work closely with cross-functional teams to integrate AI models into production environments.
• Monitor and evaluate model performance; retrain models to ensure accuracy and reliability.
• Maintain comprehensive documentation of workflows, experiments, and deployment processes for reproducibility and compliance.
  

Required Skills & Qualifications

• 2-3 years of hands-on experience in computer vision, deep learning, and model deployment.
• Strong programming proficiency in Python.
• Experience with TensorFlow, PyTorch, and Azure Custom Vision.
• Solid understanding of deep learning architectures (e.g., CNN, SSD).
• Familiarity with MLOps practices: Git, CI/CD, model versioning, OTA deployment.
• Proficiency in image processing and vision techniques using OpenCV or equivalent libraries.
• Experience in model evaluation, tuning, and real-world deployment.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Exposure to edge deployment / embedded AI systems.
• Understanding of dataset management and data annotation tools.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus.
  

Soft Skills

• Strong problem-solving and debugging skills.
• Excellent communication and collaboration abilities.
• High attention to detail and ability to work in a fast-paced environment.
• Commitment to writing clean, maintainable, and scalable code.
• Curiosity and eagerness to learn and explore emerging industry trends.