AI Engineer

Perform research and innovation efforts in developing cutting-edge vision transformer models, self-supervised learning, and other advanced AI techniques for computer vision challenges.

Design and develop algorithms for tasks like object detection, classification, segmentation, and enhancing satellite imagery resolution for agricultural insights.

Analyze and preprocess large-scale datasets, utilizing statistical methods, data augmentation, and visualization tools to improve model performance and provide actionable insights.

Collaborate with cross-functional teams to understand business needs and create scalable AI-driven solutions.

Experiment with novel computer vision techniques, including vision transformer-based models, self-supervised learning models, and model distillation (student-teacher models), to identify the best solutions for specific AI use cases, ensuring the highest performancefor each application.

Optimize and deploy inference models on edge platforms such as smartphones and Raspberry Pi using TensorFlow Lite, OpenVINO, and TensorRT, on real-time AI applications.

Build and train models using advanced computer vision frameworks for industrial applications.

Develop AI-driven control systems and integrate models with hardware for automation in agricultural processes, including activity tracking systems to monitor SOP compliance.

Implement knowledge management solutions using Large Language Models (LLMs) for document search and retrieval, ensuring data privacy.

Ensure quality assurance and compliance of AI models, performing rigorous testing and documentation of research findings, algorithms, and model architectures.