AI Applications IT Specialist/ R&D and Manufacturing Digitalisation Engineer

TALENT HUB ADVISORY LIMITED

Hong Kong

On-site

HKD 480,000 - 750,000

Full time

3 days ago
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Job summary

APJ Software (Hong Kong) Company Limited seeks an AI Applications IT Specialist to bridge R&D and manufacturing with data-driven AI solutions. You will connect lab data, plant data and AI tools to drive measurable operational value in a fast-paced environment.

The role requires a Master’s level in a relevant field and 3+ years in industrial AI or data analytics, with strong Python or R and ML framework experience. On-site Hong Kong.

Qualifications

  • Master's degree or above in Computer Science, Data Science, Materials Informatics/Chemoinformatics, Automation, or interdisciplinary field.
  • 3+ years of applied IT support, data analytics or AI delivery in industrial manufacturing.
  • Strong Python or R and ML frameworks such as scikit-learn, TensorFlow or PyTorch.

Responsibilities

  • Introduce and enable AI tools to help R&D teams search literature and support formulation design.
  • Create data-capture pipelines and ML models for TiO2 processing to predict key parameters.
  • Develop AI-enabled early-warning models from production history for predictive maintenance.
  • Integrate R&D and production data to build a unified knowledge base.
  • Deliver practical AI training including prompts and automation scripts to engineers.

Skills

Python
R
Generative AI
OpenAI API
Claude API
scikit-learn
TensorFlow
PyTorch

Education

Master's degree or above in Computer Science / Data Science / Materials Informatics / Chemoinformatics / Automation

Tools

OPC UA
MQTT
SQL
NoSQL

Job description

AI Applications IT Specialist/ R&D and Manufacturing Digitalisation Engineer

Build practical AI and data capabilities that accelerate materials R&D, improve process predictability and make manufacturing intelligence accessible to technical teams. This role connects laboratory data, plant data and modern AI tools to deliver measurable operational value.

Key responsibilities

  • Introduce and enable the effective use of AI tools—such as large language models, AI agents and materials-informatics platforms—so R&D teams can rapidly search global literature and patents and support formulation design for photocatalytic and other new products.
  • Create data-capture pipelines and machine-learning models for titanium dioxide post-processing and fibre masterbatch lines to predict and optimise critical parameters, including masterbatch pressure filter value and final milling/classification performance.
  • Develop AI-enabled early-warning models from front-line production history to identify emerging trends such as strand breakage, powder agglomeration and equipment wear, supporting predictive maintenance.
  • Integrate and restructure laboratory R&D data and production-process data to remove information silos and establish a proprietary titanium dioxide and masterbatch knowledge base.
  • Deliver practical AI training to powder and masterbatch engineers, including prompt engineering, automated data-processing scripts and other productivity tools.

About you

  • Master's degree or above in Computer Science, Data Science, Materials Informatics/Chemoinformatics, Automation, or an interdisciplinary chemistry-and-computing field.
  • 3+ years of applied IT support, data analytics or AI-delivery experience in industrial manufacturing, chemicals, materials or semiconductor environments.
  • Strong Python or R capability and hands-on experience with mainstream machine-learning frameworks such as scikit-learn, TensorFlow or PyTorch.
  • Applied generative-AI experience, including large-model APIs (e.g., OpenAI or Claude) or open-source models, and implementation of internal knowledge bases or RAG-enabled assistants.
  • Industrial data integration using OPC UA, MQTT and SQL/NoSQL databases, with the ability to interface with PLC/DCS data.
  • Ability to translate between production, R&D and digital teams with clear, practical communication.
  • Working knowledge of chemical processing and powder-material manufacturing.
  • Strong cross-disciplinary learning ability and comfort with specialist engineering terminology.
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APJ Software (Hong Kong) Company Limited

Kowloon Bay, Kwun Tong District, HK

InnoHealth Solutions & Technology Limited

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