INVIDI Technologies Corporation

AI Engineer

• Build and Improve Production AI Models
• Design, train, fine-tune, and deploy state-of-the-art computer vision models for object detection, image understanding, and visual search
• Improve model robustness across challenging real-world scenarios including varying lighting conditions, perspective changes, motion blur, occlusion, compression artifacts, and partial captures
• Continuously evaluate and iterate on models using production feedback and newly collected data
• Optimize AI for Mobile and Cloud
• Optimize inference performance for both edge and cloud deployments, balancing accuracy, latency, memory usage, and operational cost
• Improve mobile ML performance across iOS and Android while accounting for device constraints such as thermal throttling, battery usage, and hardware acceleration
• Build scalable cloud inference services capable of supporting high-volume production workloads
• Build a World-Class ML Platform
• Design reproducible training pipelines, model versioning strategies, and automated evaluation workflows
• Establish quality gates and validation processes to ensure models meet production standards before deployment
• Improve CI/CD pipelines, artifact management, and promotion workflows across development, staging, and production environments
• Own Data Quality and Evaluation
• Develop data collection strategies that improve model performance and generalization
• Create synthetic and augmented datasets to increase robustness across diverse operating conditions
• Build automated benchmarking and evaluation pipelines with measurable performance metrics and regression testing
• Improve Visual Search and Retrieval
• Design and optimize image embedding and similarity search pipelines
• Improve semantic matching, reranking, and retrieval quality for image-based search experiences
• Evaluate new architectures and techniques that enhance accuracy and user experience
• Collaborate Across Engineering Teams
• Work closely with mobile and backend engineers to integrate AI models into production applications
• Debug end-to-end ML systems, from training pipelines and inference services to client-side image preprocessing and post-processing
• Contribute to technical architecture decisions and establish best practices for scalable AI development
• Drive Innovation
• Evaluate emerging AI technologies and identify opportunities to improve existing capabilities
• Prototype new features in computer vision, multimodal AI, recommendation systems, and conversational AI
• Help shape the long-term AI strategy and technical roadmap

Senior AI/ML Engineer