curating, and analyzing datasets and training machine learning models within the Conversational AI platform delivery/implementation. General understanding of machine learning core concepts (classification, clustering underfitting). Experience applying supervised machine learning techniques to real-world problems. Decent
and RESTful APIs consumption. Interest in AI and Machine Learning, including NLP, classification models Atlassian JIRA (task tracking), Bitbucket (Git version control), Confluence (project and best practices documentation)
in shaping the collaboration between humans and machines, leading the charge toward a digital-human hybrid
infrastructure and application security, including access control, data encryption, and vulnerability management
gDocker, GitHub CI/CD). Familiarity with version control systems (e.g., Git) and code review processes.