The posting
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



