AI Engineer

Job Description Summary:

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.

Job Description:

• 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.
• 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.

Job Requeirmet:

• Have a bachelor degree or higher in Business Analytics, Statistics, Mathematics, Operation Research, Computer Science, Software Engineering, or related quantitative disciplines.
• Having 2 – 4 years experience in consulting or delivering digital and/or analytics projects, junior role is also available if your experience does not meet the condition
• 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.

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