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We are seeking an AI Researcher with 3-5 years of experience in AI development and machine learning. The ideal candidate will have a deep understanding of AI algorithms, computer vision, and machine learning techniques to develop and optimize models for automating HSE monitoring. You will work closely with Data Scientist and other cross-functional teams to develop and deploy AI models that drive our surveillance platform's capabilities. KEY RESPONSIBILITIES: • Design, implement, and train machine learning models for automating HSE monitoring in workplace environments. • Stay at the forefront of AI research, bringing new techniques and methodologies to improve system performance, accuracy, and scalability. • Work with large datasets to clean, preprocess, and annotate data, ensuring it’s ready for training AI models. • Work closely with data scientist and other cross-functionalAI team to integrate AI models into our smart monitoring platform. • Continuously fine-tune and optimize models to improve detection accuracy, response time, and system efficiency. • Develop testing and evaluation procedures to validate the performance of AI models, ensuring realworld applicability and robustness. • Document research findings, methodologies, and experiments, and contribute to knowledge sharing within the team. QUALIFICATIONS: • Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 3-5 years of experience in AI development or machine learning research, with a focus on computer vision, anomaly detection, or similar fields. • Strong experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, OpenCV. • Proficiency in programming languages such as Python, C++, or similar. • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
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