AI Specialist

Responsibilities

• Conduct end-to-end business process discovery by working closely with different departments, mapping current workflows, and identifying automation opportunities. Develop a prioritized backlog based on impact (time saved, error reduction, and effort required).
• Build and deploy machine learning and AI models to support predictive maintenance, process optimization, demand forecasting, and operational decision-making.
• Develop computer vision and AI-based inspection systems to improve quality control, defect detection, and manufacturing efficiency.
• Analyse production, inventory, and business data to identify trends, bottlenecks, defects, and continuous improvement opportunities.
• Integrate AI solutions with existing systems (ERP, sensors, production systems, APIs) to support digital transformation and Industry 4.0 initiatives, including smart factory automation.
• Strengthen system reliability by maintaining an inventory of all automation assets (scripts, bots, schedules, tokens, and dependencies), reducing system fragility, and implementing monitoring to ensure issues are detected within a short timeframe.
• Create and maintain clear technical documentation for all processes, ensuring every automation or AI solution is properly documented in a standardized methodology format.
• Develop dashboards, reports, and visualizations (e.g., Power BI or equivalent tools) to track operational KPIs, production performance, and business impact.
• Drive user adoption and capability building by training internal teams on AI tools, automation solutions, and safe data handling practices (including PDPA compliance where applicable).
• Research, evaluate, and recommend emerging AI technologies and tools to improve business operations and maintain competitiveness.
• Measure and report the impact of AI and automation initiatives, including productivity gains, error reduction, and time savings, to ensure measurable business value.
• Ensure all AI and automation solutions comply with company data governance, security policies, and operational standards.

Requirements

• Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Minimum 2-5 years of experience in AI, Machine Learning, Data Analytics, Process Automation, or Software Development.
• Strong ability to analyse business processes, map workflows, and identify automation opportunities.
• Proficient in Python (Pandas), with ability to read, debug, and enhance existing data pipelines.
• Strong SQL skills (joins, aggregations), with experience querying ERP systems (e.g., SAP Business One on SQL Server).
• Experience using AI coding assistants (e.g., ChatGPT, Copilot) with disciplined validation of outputs.
• Basic knowledge of Windows automation tools such as Task Scheduler and PowerShell, including network-drive environments.
• Strong written communication skills, able to produce clear documentation for non-technical stakeholders.
• Good business understanding in areas such as retail, inventory, and sales processes, with ability to work across teams.
• Preferable: Experience with Git/GitHub, Telegram Bot API, and BI/reporting tools (e.g., Power BI, HTML/PPTX reporting).
• Preferable: Exposure to DevOps, system monitoring, or automation reliability practices.
• Language proficiency in English and other regional languages (where relevant) is an advantage.
• Able to work independently while managing AI solutions from development through deployment and maintenance.

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Company Intel

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