Trilyon, Inc. · 4 hours ago
AI Engineer
Trilyon, Inc. is seeking an AI Engineer to design and deploy advanced computer vision and multimodal models. The role involves developing scalable data pipelines and collaborating with cross-functional teams to integrate AI capabilities into various platforms.
Responsibilities
Design, train, fine-tune, and deploy computer vision and multimodal models for image captioning, video description, object and person re-identification, and security event detection
Develop vision-language and embedding-based systems using architectures such as transformers, CLIP, BLIP, contrastive learning frameworks, and deep metric learning models
Build and maintain scalable data pipelines for image and video collection, annotation, curation, augmentation, and quality validation
Develop discriminative embedding models and tracking pipelines that enable cross-camera and cross-session identity continuity
Implement action recognition and behaviour detection models to identify security-relevant activities and support customizable user-defined detection rules
Integrate AI models into edge devices and cloud services while optimizing for latency, accuracy, power consumption, and reliability
Collaborate with embedded, backend, frontend, product, and UX teams to deliver production-ready AI capabilities
Design and maintain evaluation frameworks using automated metrics and human review to measure accuracy, robustness, and real-world performance
Monitor deployed models for drift, bias, false positives, and system performance, and continuously iterate based on feedback and telemetry
Implement privacy-conscious and ethical AI practices including on-device inference, data minimization, and secure handling of sensitive visual data
Qualification
Required
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, Machine Learning, or a related field
Three or more years of hands-on experience building production machine learning or computer vision systems
Strong foundation in deep learning, computer vision, and machine learning including CNNs, transformers, metric learning, and representation learning
Experience working with image and video datasets, annotation workflows, and large-scale training pipelines
Proficiency in Python and experience using frameworks such as PyTorch or TensorFlow
Experience deploying models into production environments including cloud services and edge or embedded platforms
Strong problem-solving skills and ability to communicate technical concepts clearly to cross-functional stakeholders