AI & Data Engineer

2 weeks ago


Singapore SCIENTEC CONSULTING PTE. LTD. Full time
Roles & Responsibilities

Working Hours: Monday - Thursday (8.30am - 6pm), Friday (8.30am - 5.30pm)

Working Location: South

Salary Package: Up to $5,500

We are looking for a Data Engineer with AI/ML exposure to support the adoption of next-generation AI and Machine Learning technologies. This role focuses on building and optimizing data pipelines, developing dashboards, and integrating AI-driven components into security workflows.

Responsibilities:

  • Develop and maintain SQL queries, data tables, and schemas to support cybersecurity analytics.
  • Build and maintain data pipelines across data warehouses and lakes (already established by vendors).
  • Develop interactive dashboards and reporting tools using Tableau, Looker, or equivalent.
  • Integrate LLM APIs via LangChain and leverage cloud AI services (e.g., Vertex AI, AWS Bedrock) to enhance security workflows.
  • Design and manage vector databases (Pinecone, PGVector, FAISS) to support search and retrieval tasks.
  • Apply prompt engineering techniques to optimize LLM performance for cybersecurity use cases.
  • Collaborate with cross-functional teams to deliver secure, scalable, and production-ready AI/ML solutions.
  • Support CI/CD pipelines and Git workflows for continuous testing and deployment.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related fields
  • Minimum 2 years' experience in data engineering or related role.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy ).

This authorizes us to:

  • Contact you about potential opportunities.
  • Delete personal data as it is not required at this application stage.
  • All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Siew Ting (Maeve) - R

ScienTec Consulting Pte Ltd - 11C5781

Tell employers what skills you have
Tableau
Machine Learning
Pipelines
AWS
ETL
Data Engineering
SQL
Vertex
Design of data warehouse
Databases
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