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Open nowPosted today

AI Data Engineer (entry level) - SPVL

MyCareersFuture97,045 open roles

Pay
SGD 4,500 – SGD 5,500 a month
Where
Central, Singapore
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Your applicationOpen nowAI Data Engineer (entry level) - SPVLMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 3 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 3 days open

The posting

We are looking for AI Data Engineer to work on government projects within Cybersecurity domain:

  • Exciting opportunity to work with a team of professionals to gain experience
  • Competitive salary package & employment benefits (up to 24 days leave + medical insurance)
  • Work location: Punggol (hybrid work arrangement)
  • Entry level candidate with AI + AWS + data engineering related internship are welcome to apply

AUTOMATION & DEVELOPMENT:

  1. Design, develop, and maintain automated workflows and orchestration pipelines for SOC operations.
  2. Implement CI/CD pipelines for automation and AI services deployment.
  3. Develop custom automation solutions using Python scripts, shell scripts, and other programming languages as required.
  4. Deliver and maintain automation and supporting infrastructure across internet, intranet, and local environments, as required for operational needs.
  5. Provide supporting engineering on automation across operations, including AI call centre and workflow systems.
  6. Provide supporting engineering for automated workflows, orchestration pipelines, and integration frameworks for operational requirements.

INFRASTRUCTURE & PLATFORM MANAGEMENT:

  1. Provide supporting engineering for multi-cloud infrastructure across AWS, Azure, and GCP, including cloud-native services such as compute (EC2), storage (S3), network security (firewalls, WAF, proxy), data warehouses (BigQuery), AI/ML platforms (Vertex AI, AWS SageMaker, Azure ML), and analytics tools (Looker).
  2. Implement infrastructure-as-code (IaC) and cloud resource management using Terraform, CloudFormation, or equivalent tools.
  3. Provide supporting engineering for on-premises infrastructure setup, including bare metal server provisioning and configuration.
  4. Design and deploy specialised purpose platforms tailored to specific operational requirements.
  5. Ensure reliability, scalability, and security of multi-cloud infrastructure.

SECURITY OPERATIONS:

  1. Provide supporting engineering on incident response playbook work in SOAR and related tooling under direction and priorities from SOC operations.

DATA & INTEGRATION:

  1. Build integration frameworks connecting SIEM, SOAR, and threat intelligence platforms across cloud environments.
  2. Develop and implement data integration solutions to supplement current platforms with external data sources.
  3. Collaborate with AI Software Engineers to integrate AI capabilities into automated workflows.

How to Succeed

  • Experience in data engineering, AI technologies, AWS and automation experience
  • Experience in Python and SQL on cloud analytics warehouses
  • Background/knowledge in Cybersecurity will be an added advantage
  • Entry level position, training will be provided

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to: Contact you about potential opportunities. Delete personal data not required at this application stage. To withdraw consent, email [email protected]. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Liew Chien Hui - R2090138 ScienTec Consulting Pte Ltd - 11C5781

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