AWSAzureCloudPythonRAIMachine LearningNLPNatural Language ProcessingAnalyticsGoogle CloudCommunication
About this role
Role Overview
Maintain and improve the Knowledge Base (KB) by creating, reviewing, and standardizing content for accuracy, clarity, and consistency.
Collaborate with cross-functional teams to align knowledge strategies and key performance indicators.
Analyze data and customer feedback to identify trends and opportunities for improvement.
Curate and validate AI-generated content, ensuring compliance with data privacy, governance, and ethical standards.
Support AI optimization tasks such as data cleaning, content tagging, classification, and fact-checking for model training.
Lead a capstone project related to evaluating and implementing drive to web strategies across relevant products, and consuming Knowledge Management data, that could lead to query reduction and Customer Satisfaction.
Promote responsible AI practices and foster a self-help community through knowledge sharing and process innovation.
Requirements
Be currently pursuing a bachelor’s or master’s degree in data analytics, data science, software engineering, or a related field of study with a graduation date of May 2027.
Demonstrate understanding of AI concepts, machine learning techniques, and Natural Language Processing (NLP).
Possess proficiency in programming languages such as Python and R for AI model development.
Have experience with data processing, analysis, and familiarity with big data tools and cloud platforms (AWS, Google Cloud, Azure).
Possess effective communication skills, with the ability to write clearly and concisely.
Display a customer-focused mindset and structured approach to problem-solving.
Be able to manage multiple priorities and maintain organized processes.
Be fluent in English and comfortable with digital tools and emerging technology trends.