Artificial Intelligence Engineer

As an AI Engineer at Smartan FitTech, you will play a pivotal role in spearheading the design, development, and deployment of cutting-edge computer vision models aimed at enhancing human motion understanding and video analytics. You will be at the forefront of the AI development lifecycle, contributing to the implementation of features that power our innovative fitness intelligence systems. This role requires a strong engineering focus on real-world deployment, performance optimization, and scalability, rather than academic prototyping. Your responsibilities will include overseeing the complete lifecycle of computer vision models, from initial experimentation to deployment and ongoing monitoring. You will be tasked with constructing and refining deep learning models for various applications such as pose estimation, activity recognition, and posture correction. Leveraging techniques like transfer learning, fine-tuning, and knowledge distillation will be essential for achieving optimal performance and generalization. Additionally, you will be responsible for designing scalable data pipelines for video ingestion, annotation, preprocessing, and augmentation, as well as integrating AI modules into cloud-based environments using REST APIs or microservices. To excel in this role, you should possess a Bachelor's or Master's degree in computer science, AI, machine learning, or a related field, along with at least 2 years of experience deploying computer vision models in production environments. Proficiency in Python, particularly with PyTorch and/or TensorFlow, is crucial. Hands-on expertise with models like YOLOv5/YOLOv8, Vision Transformers, ResNet, and others, as well as experience with pose estimation frameworks and real-time motion tracking, will be highly beneficial. Familiarity with tools like OpenCV, MMAction2, DeepSort, and ONNX/TensorRT is also desired. In this role, you will have the opportunity to shape the future of intelligent fitness systems, with autonomy and ownership over the deployment of models that have a real-world impact. You will thrive in a fast-paced environment that offers exposure to the entire AI pipeline, from data processing to deployment, within a collaborative team culture that values engineering excellence and innovation.,