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• Bachelor's or higher degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A master's or Ph.D. is preferred.
• Proven experience working as an Artificial Intelligence Expert, preferably in the field of user behavior adaptation or personalization and/or environment recognition.
• Strong background in machine learning techniques, including deep learning, reinforcement learning, natural language processing, and statistical modeling.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data preprocessing, feature extraction, and data visualization techniques to derive meaningful insights from user behavior data.
• Knowledge of big data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) for scalable data analysis.
• Solid understanding of software development methodologies and practices, with the ability to collaborate effectively with software engineers and designers.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Strong research mindset and a passion for staying up-to-date with the latest advancements in AI and user behavior analysis.
Requirements
• Proven experience working as an Artificial Intelligence Expert, preferably in the field of user behavior adaptation or personalization and/or environment recognition.
• Strong background in machine learning techniques, including deep learning, reinforcement learning, natural language processing, and statistical modeling.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data preprocessing, feature extraction, and data visualization techniques to derive meaningful insights from user behavior data.
• Knowledge of big data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) for scalable data analysis.
• Solid understanding of software development methodologies and practices, with the ability to collaborate effectively with software engineers and designers.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Strong research mindset and a passion for staying up-to-date with the latest advancements in AI and user behavior analysis.
Requirements