Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred). Minimum 3 years of hands-on experience in AI/ML engineering or data science roles. Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras). Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision. Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes). Knowledge of MLOps tools and CI/CD pipelines for ML projects. Familiarity with big data platforms (e.g., Spark, Hadoop). Experience with academic or educational systems (LMS, AI in education) is a plus. Demonstrated contributions to open-source projects, research publications, or hackathons.Requirements
Required Qualifications:
Desirable Skills:
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