Digitalisation Engineer

Job Purpose

Support the development and implementation of AI, automation and digital transformation initiatives across NatSteel, including Planning, Logistics, Technical, Production, Sales Procurement and Finance functions.

Key Responsibilities

• Support AI and digitalisation projects across multiple business functions.
• Gather business requirements from stakeholders and translate them into digital solutions.
• Participate in process mapping and workflow improvement initiatives.
• Analyse operational data and identify digitalisation opportunities.
• Support development and testing of AI, machine learning and automation solutions.
• Work with internal stakeholders and external technology vendors.
• Prepare project documentation, business cases, reports and management presentations.
• Assist in user acceptance testing (UAT), training and solution deployment.
• Monitor project progress, risks and benefits realisation.

Requirements

• Degree in Engineering, Computer Science, Data Science, Information Systems or related discipline.
• Strong interest in AI, machine learning, automation and digital transformation.
• Good analytical and problem-solving skills.
• Proficiency in programming (python / C++) is required.
• Able to communicate with business users and technical vendors.
• Comfortable working across multiple departments and managing multiple projects.

Preferred

Experience in one or more of the following areas:

• Artificial Intelligence (AI) and Machine Learning (ML)
• Large Language Models (LLMs) and Generative AI platforms such as OpenAI, Azure OpenAI, Microsoft Copilot, Anthropic Claude, Google Gemini, Qwen or similar platforms
• Computer Vision and OCR technologies
• Intelligent Document Processing (IDP)
• Process Automation and Workflow Automation
• Data Analytics and Business Intelligence
• Manufacturing, Planning, Logistics, Sales or ERP Systems
• Industrial Digitalisation and Industry 4.0 initiatives
• Cloud platforms such as Microsoft Azure, AWS or Google Cloud Platform

Technical Skills

• Programming experience in Python
• Experience with SQL databases and data modelling
• Experience with C++development is an advantage
• Experience with APIs, system integration and automation workflows
• Familiarity with Power BI, Power Platform, Azure AI Services, Machine Learning frameworks or similar technologies
• Experience developing dashboards, web applications or data pipelines is an advantage