Edge AI Engineer: Vision Transformers & CV

PT Kreasi Nostra Mandiri; Jakarta Pusat; On-site; IDR 167,400,000 - 390,600,000; Full time

Job summary

PT Kreasi Nostra Mandiri is seeking an AI Engineer specialized in Vision Transformers, Foundational Models, and data science to research, develop, and deploy innovative ML solutions for computer vision and generative AI on mobile and edge devices.

The role focuses on designing algorithms for object detection, classification, segmentation, and real-time inference on edge hardware, with emphasis on data-driven insights and scalable AI systems.

Qualifications

• Experience building vision transformer models and related architectures.
• Strong background in computer vision and ML research applications.
• Experience with edge deployment and real-time inference is a plus.

Responsibilities

• Perform research and innovation in vision transformer models and self-supervised learning.
• Design algorithms for object detection, classification, and segmentation.
• Enhance satellite imagery resolution for agricultural insights.
• Analyze large-scale data with augmentation and visualization to improve models.
• Collaborate with cross-functional teams to deliver scalable AI solutions.
• Experiment with CV techniques including model distillation and vision transformers.
• Optimize and deploy inference models on edge platforms using TensorFlow Lite/OpenVINO/TensorRT.
• Build and train models for industrial computer vision applications.
• Develop AI-driven control systems and integrate with hardware for automation.
• Implement knowledge management with LLMs for document search and privacy.
• Ensure QA and documentation of research findings and model architectures.

Skills

Vision Transformers

Self-supervised Learning

Generative AI

Edge AI

Tools

TensorFlow Lite

OpenVINO

TensorRT

Job description

PT Kreasi Nostra Mandiri is seeking an AI Engineer specialized in Vision Transformers, Foundational Models, and data science to research, develop, and deploy innovative ML solutions for computer vision and generative AI on mobile and edge devices.

The role focuses on designing algorithms for object detection, classification, segmentation, and real-time inference on edge hardware, with emphasis on data-driven insights and scalable AI systems.