Edge AI Vision Engineer - Mobile & Edge Real-Time CV

goldenagri; Jakarta Pusat; On-site; IDR 240,000,000 - 480,000,000; Full time

Job summary

goldenagri is seeking an AI Engineer to drive research and development in vision transformers and foundational models for agricultural applications. You will work on computer vision tasks, edge deployment, and satellite imagery analytics to deliver scalable AI solutions for real-time mobile and edge devices.

Join a team focusing on innovative ML techniques, self-supervised learning, and model distillation to optimize performance while collaborating with cross-functional teams and ensuring robust

Qualifications

• Bachelor's degree required in IT/Information Systems.
• 3-5 years of AI engineering experience.

Responsibilities

• Research and develop vision transformer models and foundational AI techniques for computer vision challenges.
• Design algorithms for object detection, classification, segmentation, and satellite imagery enhancement for agriculture insights.
• Preprocess large datasets, apply data augmentation, visualize results to improve model performance.
• Collaborate with cross-functional teams to translate business needs into scalable AI solutions.
• Experiment with vision transformers, self-supervised learning, model distillation, and edge deployment.
• Deploy inference models on edge platforms (Smartphones, Raspberry Pi) using TensorFlow Lite/OpenVINO/TensorRT.
• Build and train models with advanced computer vision frameworks for industrial applications.
• Develop AI-driven control systems to automate agricultural processes and monitor SOP compliance.
• Implement LLM-based knowledge management for document search while ensuring data privacy.
• Ensure QA and documentation of research findings and model architectures.

Skills

Coding

Machine Learning

Education

Bachelor's degree in Information Technology and Information System

Job description

goldenagri is seeking an AI Engineer to drive research and development in vision transformers and foundational models for agricultural applications. You will work on computer vision tasks, edge deployment, and satellite imagery analytics to deliver scalable AI solutions for real-time mobile and edge devices.

Join a team focusing on innovative ML techniques, self-supervised learning, and model distillation to optimize performance while collaborating with cross-functional teams and ensuring robust