AI & Data Solutions Engineer (Cybersecurity / LLM) - spvw

3 weeks ago

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

We are looking for a highly skilled and innovative AI & Data Solutions Engineer to join our team and lead the integration of AI-driven capabilities into our nation's cybersecurity ecosystem. This role is ideal for individuals with strong technical expertise in AI/ML, data engineering, and security solutions who enjoy building scalable, end-to-end systems and working on cutting-edge public sector projects.

  • Play a key role in implementing AI-powered cybersecurity applications for large-scale government initiatives.
  • Collaborate with multidisciplinary teams to design, develop, and deploy intelligent data solutions.
  • Enjoy a dynamic and challenging environment with opportunities to work on high-impact national projects.

Responsibilities:

  • Design, build, and maintain cloud-based data pipelines for ingesting, transforming, and integrating data from multiple security sources.
  • Develop and maintain interactive dashboards (e.g., Tableau or equivalent) to monitor and report on security analytics.
  • Integrate LLM APIs using frameworks such as LangChain to enhance AI-driven automation in cybersecurity workflows.
  • Deploy and manage vector databases (e.g., Pinecone, PGVector, FAISS) to support AI search and retrieval functions.
  • Create and automate agentic workflows for complex cyber operations.
  • Orchestrate AI agent collaboration across the security ecosystem.
  • Implement and manage CI/CD pipelines using Git for development, deployment, and testing of AI models.
  • Drive end-to-end AI solutions from experimentation to production for SOC automation, threat detection, and incident response.
  • Work closely with cross-functional teams to ensure security, scalability, and operational readiness of AI systems.

Requirements:

  • Bachelor's degree or higher in Computer Science, Data Science, Machine Learning, or related field.
  • At least 2 years of experience in Python, LangChain, NLP, and Computer Vision.
  • Prior experience in building and deploying AI/LLM-powered applications and CI/CD pipelines.
  • Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Experience with AI services such as AWS Sagemaker, Bedrock, or Google Vertex AI.
  • Familiarity with data warehousing tools (Amazon Redshift, Google BigQuery) is an advantage.
  • Exposure to open-source automation frameworks (e.g., Flowise) is a plus.

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Wong Vi Yin (Vanessa) – R24123532

ScienTec Consulting Pte Ltd – 11C5781

Tell employers what skills you have

Tableau
Git
Scalability
Kubernetes
Pipelines
Experimentation
AWS
Amazon Redshift
Public Sector
Cybersecurity Framework Application
Infrastructure Deployment
Computer Vision
Data Engineering
Python
Containerization
Docker
Data Warehousing
Architecture & Deployment

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