AI Solutions Engineer & Data Platform Specialist

CL Technical Services Ltd.

Sha Tin

On-site

HKD 250,000 - 380,000

Full time

9 days ago

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Job summary

CL Technical Services Ltd. invites an experienced IT professional to design, build, and deploy AI solutions for our platform, including knowledge bases, dashboards, and recommendation systems. You will ensure secure, transparent AI applications and collaborate with cross‑functional teams to drive delivery.

Responsibilities include integrating with our e‑learning platform, data pipelines, Docker/Git deployment, and ongoing risk management for confidentiality and compliance.

Qualifications

  • Minimum 3 years of post-qualification IT experience
  • At least 1 year in a similar role
  • Strong Python for AI/ML development
  • Proficiency in web programming and SQL/MySQL/PostgreSQL
  • Experience with data querying tools

Responsibilities

  • AI solution development: design, build, and deploy secure AI applications for the platform.
  • System integration: facilitate seamless integration with existing e-learning architecture.
  • Data engineering: manage structured and unstructured data pipelines.
  • Application support: provide IT support and troubleshoot applications.
  • Risk management: identify and address data security and compliance risks.
  • Continuous improvement: enhance system capabilities and stay updated on AI methodologies.
  • Collaboration: work with knowledge management and collaborative tools across teams.

Skills

Python for AI/ML
Web programming
SQL/Databases
Data wrangling
Troubleshooting

Tools

Dify
n8n
LangChain
LlamaIndex
Vector databases
LLM APIs
AI agents

Job description

CL Technical Services Ltd. invites an experienced IT professional to design, build, and deploy AI solutions for our platform, including knowledge bases, dashboards, and recommendation systems. You will ensure secure, transparent AI applications and collaborate with cross‑functional teams to drive delivery.

Responsibilities include integrating with our e‑learning platform, data pipelines, Docker/Git deployment, and ongoing risk management for confidentiality and compliance.

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