Inactive
U

Unilever

Global consumer goods manufacturer and marketer

Digital, AI & OT Cybersecurity Specialist

AI Application EngineeringPosted on Oct 29
Full-timeDubai - United Arab EmiratesNo salary listedIn-person

About the Job

Requirements

  • A diploma or above in Computer Science, Mechatronics, Software Engineering, Electronics Engineering, or a similar field, with 0–2 years of experience in software development, manufacturing, or automation.
  • Ability to communicate, read, and write in English.
  • Proven software development capability in .NET and C#, including object-oriented programming, reading, writing, and debugging, with the ability to build fairly complex software components.
  • Foundational understanding of computer networks, IP addressing, and general network hardware.
  • Basic understanding of electrical wiring and cabling and how software interacts with physical hardware.
  • Practical understanding of artificial intelligence and generative AI concepts and prompt engineering, with the ability to build or configure AI agents.
  • Awareness of cybersecurity fundamentals and willingness to own the site cybersecurity programme.
  • Strong self-learning ability, using online resources to acquire new skills quickly.

Responsibilities

  • Design, develop, test, and maintain custom applications on the .NET and C# platform, and Python where appropriate, to connect and communicate with factory hardware, machines, and databases.
  • Build low-code and no-code solutions using Microsoft Power Platform, including Power Apps, Power Automate, and Power BI, and integrate them with enterprise systems such as SAP, SQL, and Azure Data Explorer.
  • Integrate pre-existing software modules with newly developed components, perform version upgrades, and follow secure-by-design coding, source control using Git, and CI/CD practices.
  • Troubleshoot hardware, software, connectivity, and system issues across the site’s digital infrastructure.
  • Build, deploy, and govern AI and AI-agent solutions, for example using Microsoft Copilot Studio, Azure OpenAI, Semantic Kernel or Agent Framework, and Microsoft.Extensions.AI libraries, to automate workflows and support decision-making.
  • Apply generative AI, prompt engineering, machine learning, and machine-vision techniques to factory use cases such as quality inspection, predictive maintenance, and loss analysis.
  • Ensure AI use cases are logged and comply with Unilever’s Agentic AI Guardrails, Responsible AI, and GovernAI requirements.
  • Support the design, programming, integration, and troubleshooting of industrial robots, collaborative robots, and automation cells on production lines.
  • Work with programmable logic controllers, human-machine interfaces, supervisory control and data acquisition, sensors, Internet of Things devices, and vision systems to enable automated data collection and closed-loop control.
  • Apply robotic process automation to eliminate repetitive manual tasks.
  • Execute physical roll-outs of digital transformation initiatives, working with Production and Engineering stakeholders to deliver hardware and software changes on site.
  • Coordinate with internal factory stakeholders through digital project design and implementation phases, and act as the first point of contact for troubleshooting digital infrastructure.
  • Conduct detailed operational technology and information technology risk assessments and deploy mitigation actions for identified cyber risks as part of the site cybersecurity programme.
  • Apply industrial cybersecurity standards, including ISA/IEC 62443 and NIST SP 800-82, covering network segmentation using the Purdue model, zones and conduits, secure remote access, and defence-in-depth.
  • Implement asset inventory, vulnerability and patch management, monitoring, and operational technology-specific incident response and recovery aligned to Unilever’s cyber resilience standards.
  • Deliver cybersecurity awareness and hygiene training for shopfloor and engineering teams.

Desired Qualifications

  • A bachelor’s degree, plus hands-on project experience delivering applications, artificial intelligence, or automation in an industrial or factory environment.
  • Python.
  • Azure OpenAI, Microsoft Copilot Studio, Semantic Kernel or Microsoft Agent Framework, Microsoft.Extensions.AI, ML.NET, retrieval-augmented generation, and machine-learning fundamentals including MLOps.
  • .NET 8/9 or later, ASP.NET Core, Blazor, REST APIs, microservices, clean architecture, and Microsoft Power Platform including Power Apps, Power Automate, and Power BI.
  • Microsoft Azure, containerisation, Git source control, and CI/CD pipelines.
  • Industrial robot and collaborative robot programming, programmable logic controller and human-machine interface programming, supervisory control and data acquisition, machine vision, Internet of Things and sensors, and robotic process automation.
  • ISA/IEC 62443, NIST SP 800-82, operational technology and industrial control system security, network segmentation, industrial protocols including Modbus, OPC-UA, PROFINET, and EtherNet/IP, and MITRE ATT&CK for ICS.
  • Certifications such as GICSP, ISA/IEC 62443, or CompTIA Security+.
  • SQL, Azure Data Explorer, data analytics, and visualisation.

About the Company

Unilever

Global consumer goods manufacturer and marketer

Unilever operates as a global consumer goods company with a broad portfolio of brands across foods, personal care, and home care. Its products are made at scale and distributed through retailers worldwide, making everyday items easily accessible. The company differentiates itself through a wide mix of brands, geographic reach, a history of mergers and acquisitions, and a strong focus on sustainability and social impact. Its goal is to help people feel good and live better by delivering trusted, affordable products at scale while pursuing sustainable growth.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1872

Recently Posted Jobs

Explore more opportunities at Unilever

See more jobs