Bachelors degree in Computer Science, Engineering, Data Science, or a related field. Strong interest in and passion for artificial intelligence, machine learning, and data science. Basic understanding of machine learning concepts, algorithms, and techniques. Familiarity with programming languages such as Python and libraries like TensorFlow, PyTorch, or scikit-learn. Exposure to natural language processing (NLP) and computer vision concepts is a plus. Solid foundation in mathematics and statistics relevant to Al and machine learning. Experience with data visualisation tools such as Power BI, Tableau Strong problem-solving skills and the ability to analyse and interpret data. Excellent communication skills, both written and verbal. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and version control (e.g., Git) is a plus. Good knowledge of databases and SQL queries for data validation.Strong communication skills (verbal and written).
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