<ul><li>Programming Mastery: Excel in Python, R, Java, and C++ for effective AI model creation and implementation.</li><li>Mathematics Proficiency: Understand linear algebra, probability, and statistics to navigate diverse AI models successfully.</li><li>Big Data Competence: Work with large datasets using Spark, Hadoop, Cassandra, and MongoDB for robust data processing.</li><li>Algorithmic Expertise: Grasp machine learning algorithms and frameworks (e.g., PyTorch, TensorFlow) for model development.</li><li>Soft Skills and Domain Acumen: Develop strong communication, problem-solving, and time management skills; align AI solutions with business goals.</li></ul>

Top 5 skills required to become an AI Engineer

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