Bachelor’s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
Good command of English for reading technical documentation, communication, and working with modern digital platforms.
Practical knowledge of coding and programming, with the ability to understand, write, or review technical solutions.
Strong understanding of Artificial Intelligence concepts, tools, and real-world business applications.
Experience working with AI systems, including the use, adaptation, and improvement of AI-based tools for operational tasks.
Understanding of AI training processes, including data preparation, model or workflow tuning, testing, prompt design, and evaluation of output quality.
Strong analytical thinking, problem-solving ability, and readiness to learn new technologies quickly.
High sense of responsibility, discipline, confidentiality, and attention to detail.
Ability to monitor processes, prepare reports, and ensure quality control and compliance within assigned responsibilities.
Preferred Competencies
Experience with automation, digital transformation, or technical project coordination.
Ability to work confidently with AI tools, coding environments, databases, web systems, APIs, or software platforms.
Practical understanding of how AI can be trained, adjusted, optimized, and evaluated for different departmental tasks.
Ability to identify where technology and AI can improve efficiency, monitoring, reporting, and decision support.
Strong communication skills and the ability to work effectively in a team environment.
Candidate Profile
Technical Skills - Can understand and apply coding, digital systems, and software-based workflows in practice.
AI Capability - Can use AI tools effectively and understands AI training, testing, optimization, and workflow improvement.
Inspection Mindset - Can monitor processes carefully, maintain standards, verify quality, and provide structured reporting.
Work Style - Proactive, organized, disciplined, and focused on innovation and departmental efficiency.