AI Engineer

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

This role will be specialized in Vision Transformers, Foundational Models, and Data Science & will be at the forefront of researching, developing, and implementing innovative machine learning solutions in computer vision and generative AI. You will play a pivotal role in driving innovation and advancing our capabilities in using these models across various types of computer vision and real time applications on mobile and edge devices.

Key responsibilities

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

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

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