Automation Engineer

NCS

Singapore

On-site

SGD 100,000 - 180,000

Full time

2 days ago
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Job summary

NCS is hiring an AI Engineer to design, build, and deploy AI-driven solutions across the APAC region. You will translate real-world problems into scalable, production-ready AI systems, collaborating with in-house solution teams, operations, and business stakeholders.

The role emphasizes model development, MLOps, and governance with exposure to cloud AI services (Azure, AWS, GCP). A strong portfolio or 3+ years of hands-on AI/ML experience is required, with leadership responsibilities possible.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or equivalent.
  • 3+ years of hands-on experience in building AI/ML systems (or strong project portfolio for junior roles).
  • Experience building intelligent chatbots, agents, or AI copilots.
  • Understanding of software development best practices (Git, CI/CD).
  • Experience with AIOps, anomaly detection, or predictive maintenance.
  • Knowledge of enterprise IT operations or managed services environments.
  • Strong problem-solving and analytical thinking.
  • Ability to work independently and in cross-functional teams.
  • Clear communication and documentation skills.
  • Lead a small team to implement AI solutions.

Responsibilities

  • Design, develop, and deploy AI/ML models for prediction, classification, automation, and NLP.
  • Fine-tune and optimize Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or enterprise models.
  • Build AI agents, retrieval systems (RAG), vector databases, and workflow automation pipelines.
  • Develop APIs and microservices to integrate AI components into enterprise systems.
  • Prepare, clean, and transform large datasets for model training and inference.
  • Implement MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
  • Ensure model performance, reliability, and drift detection in production environments.
  • Participate in solutioning, feasibility studies, and architecture planning.
  • Evaluate and compare models, frameworks, and cloud-based AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
  • Ensure solutions adhere to security, compliance, and governance requirements.
  • Work with business teams to identify automation and AI opportunities.
  • Translate business requirements into technical specifications and prototypes.
  • Present technical concepts and results to both technical and non-technical stakeholders.

Skills

AI/ML systems
Chatbots/agents
CI/CD
AIOps
Enterprise IT
Problem solving
Team leadership

Education

Bachelor’s or Master’s degree

Tools

Git
CI/CD tooling
LLMs
Azure AI
AWS SageMaker
GCP Vertex AI

Job description

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 14,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

Job Description

We are seeking a highly skilled AI Engineer to design, build, and deploy AI-driven solutions that enhance business operations and customer outcomes. The ideal candidate has strong experience in machine learning, large language models (LLMs), automation frameworks, and implementing AI systems in enterprise environments.

You will work closely with cross-functional teams—including inhouse solution team, operations, and business stakeholders—to translate real‑world problems into scalable, production‑ready AI solutions.

What will you do?

  • Design, develop, and deploy AI/ML models for prediction, classification, automation, and natural language processing.
  • Fine‑tune and optimize Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or enterprise models.
  • Build AI agents, retrieval systems (RAG), vector databases, and workflow automation pipelines.
  • Develop APIs and microservices to integrate AI components into enterprise systems.
  • Prepare, clean, and transform large datasets for model training and inference.
  • Implement MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
  • Ensure model performance, reliability, and drift detection in production environments.
  • Participate in solutioning, feasibility studies, and architecture planning.
  • Evaluate and compare models, frameworks, and cloud‑based AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
  • Ensure solutions adhere to security, compliance, and governance requirements.

Collaboration & Stakeholder Engagement

  • Work with business teams to identify automation and AI opportunities.
  • Translate business requirements into technical specifications and prototypes.
  • Present technical concepts and results to both technical and non‑technical stakeholders.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or equivalent.
  • 3+ years of hands‑on experience in building AI/ML systems (or strong project portfolio for junior roles).
  • Experience building intelligent chatbots, agents, or AI copilots.
  • Understanding of software development best practices (Git, CI/CD).
  • Experience with AIOps, anomaly detection, or predictive maintenance.
  • Knowledge of enterprise IT operations or managed services environments.
  • Strong problem‑solving and analytical thinking.
  • Ability to work independently and in cross‑functional teams.
  • Clear communication and documentation skills.
  • Lead a small team to implement AI solutions.
Additional Information

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.

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