AI Engineer

The AI Engineer role requires a mid-level professional with a solid foundation in artificial intelligence principles and practical experience totaling around 40 experience points, indicating several years of hands-on work in AI-related projects. Candidates are expected to hold at least a bachelor's degree, reflecting a strong educational background in computer science, data science, engineering, or a related technical field. The ideal candidate should be proficient in key AI technologies, including machine learning algorithms, neural networks, natural language processing, and computer vision techniques. Familiarity with programming languages such as Python, R, or Java, along with frameworks and libraries like TensorFlow, PyTorch, or scikit-learn, is essential. Experience with data preprocessing, model training, evaluation, and deployment is important, as is the ability to work with large datasets and cloud platforms for scalable AI solutions. Strong analytical skills, problem-solving capabilities, and the ability to collaborate with cross-functional teams are critical. The role may also involve staying updated with the latest AI research and integrating new methodologies to improve model performance. Overall, the position demands a balanced combination of theoretical knowledge and practical expertise in AI technologies, suitable for contributing effectively to AI development and implementation initiatives within an organization.