AI & Data Associate

Job Summary The AI Associate supports the development, implementation, and monitoring of AI solutions, automation tools, and data-driven systems across the organization. This role works closely with IT, business units, and data teams to enhance productivity, streamline processes, and promote AI adoption. Duties and Responsibilities Key Responsibilities: AI Implementation & Support Assist in the deployment of AI tools such as chatbots, RPA, predictive analytics, and machine learning solutions. Support testing, troubleshooting, and documenting AI system performance. Coordinate with external vendors or internal developers for AI tools enhancement. Data Management & Analytics Collect, clean, and organize data for AI model training and reporting. Generate dashboards, reports, or insights from AI and analytics platforms. Monitor AI outputs to ensure accuracy, relevance, and ethical use of data. Automation & Process Optimization Identify business processes that can be automated using AI or intelligent workflows. Support the creation of workflows using tools like Power Automate, UiPath, or Python scripts. Measure efficiency gains and provide improvement recommendations. Collaboration & Training Work with stakeholders to gather requirements for AI projects. Train employees on how to use AI productivity tools, chatbots, and automation features. Assist in creating AI guidelines, documentation, and user manuals. Qualifications Education: Bachelor’s Degree in IT, Computer Science, Information Systems, Engineering, Business Analytics, or related field. Preferred Skills & Knowledge: Basic understanding of AI/ML concepts, data analytics, or automation tools. Familiarity with Python, SQL, Power BI, or AI platforms (Azure AI, Google AI, ChatGPT, etc.). Strong analytical thinking and problem-solving skills. Good communication and documentation skills. Preferred Experience (Optional): Experience in data entry, IT support, business process improvement, or digital transformation projects. Exposure to RPA, chatbots, or AI productivity tools. Internship or project involvement in AI, data, or automation initiatives is an advantage. Key Competencies: Detail-oriented and tech-savvy Quick learner and adaptable Team collaboration and stakeholder coordination Ethical handling of data and AI technologies Technical Competencies and Skills AI and Data Analytics Education, Trainings and Licenses Required College Degree, AI Knowledge