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Digitalisation Engineer

Job in Pioneer, Williams County, Ohio, 43554, USA
Listing for: NatSteel Holdings Pte Ltd
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 65000 - 90000 USD Yearly USD 65000.00 90000.00 YEAR
Job Description & How to Apply Below

Job Purpose

Support the development and implementation of AI, automation and digital transformation initiatives across Nat Steel, 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

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