Total 33 technical analyst job vacancies in Art / Design / Entertainment category

REQUIREMENTS:

-         6 years' post graduate experience working with Personal computers or compatibles;

-         6 years' post graduate experience using MS OS such as Windows 11 or higher and Microsoft Outlook;

-         Able to conduct unit, module, functional and volume testing; to analyze test results and to take corrective action.

a) Must have 6 years’ Microsoft SQL Server 2008 R2 (or higher version) programming experience

b) Must have 6 years’ Microsoft SQL Server Management Studio programming experience (Database Engine; Analysis Services, SQL Server integration Services, Reporting Services)

c) Must have 6 years programming experience in ASP.Net

RESPONSIBILITIES:

The Programmers shall be required to:

i. Code, modify, test, correct and document new and existing programs using assigned languages, tools and coding conventions;

ii. Prepare and document test data;

iii. Prepare and set up testing and production environment;

iv. Prepare and maintain program and system documentation;

v. Assist in establishing file structures and processing logic requirements;

vi. Produce deliverables according to group standards and procedures;

vii. Assist Project Leaders in the study and design of application systems and work coordination, project management and user training work;

viii. Troubleshooting and supporting end-users in the implementation and maintenance of application systems;

ix. Train other contract programmers in the relevant skills;

x. Participate in Disaster Recovery activities eg simulation exercise at Disaster Recovery sites;

xi. Learn / pick up new programming skills related to System Development and Maintenance as assigned by the supervisors;

xii. Any other tasks related to System Development and Maintenance as assigned by the supervisors.

We are seeking a senior Technical Design Lead to support the delivery of mission‑critical data centre projects across the region. This role will provide technical oversight across design, construction support, commissioning, and handover, ensuring resilient, high‑performing, and efficient engineering solutions. You will act as a key technical authority, working closely with consultants, contractors, and internal teams to assure design quality, manage technical risks, and support successful project delivery.

Responsibilities

• Provide technical leadership across data centre design and delivery phases
• Lead and review engineering designs to ensure compliance with performance and resilience requirements (e.g. N+1, 2N)
• Coordinate with consultants, contractors, and vendors to resolve technical issues
• Identify and manage technical risks impacting cost, schedule, and quality
• Support construction activities, commissioning, testing, and defect resolution
• Contribute to continuous improvement of engineering standards and best practices

Requirements

• Strong experience delivering data centre projects in a senior or lead engineering role
• Solid understanding of high‑availability design and resilience strategies (e.g. N+1, 2N)
• Proven ability to lead design reviews, QA/QC, and technical assurance
• Experience supporting projects through to commissioning and handover
• Familiarity with digital engineering and BIM tools
• Background in mechanical or electrical data centre infrastructure

Consultant: Lisa Ong Li Xian (EA License No: R24123585)

Job Summary

Experienced AI/ML professional with 13+ years designing and delivering scalable, enterprise-grade AI solutions. Expertise includes Generative AI, LLMs, RAG pipelines, multi-agent systems, and cloud-based AI architectures that drive operational efficiency and innovation.

Responsibilities

• Design and deliver enterprise-scale intelligent AI solutions using Generative AI, LLMs, RAG pipelines, and multi-agent systems to meet complex business needs
• Translate business requirements into robust AI architectures deployed on cloud platforms such as AWS, Azure, and GCP
• Develop agentic AI systems, real-time inference pipelines, and intelligent automation frameworks to enhance operational efficiency and decision-making
• Implement LLMOps/MLOps practices to ensure AI model reliability, scalability, and compliance with model governance and Responsible AI standards
• Integrate AI solutions with enterprise systems including ERP and CRM, utilizing advanced data engineering techniques on structured and unstructured data
• Lead cross-functional teams to deliver end-to-end AI solutions and foster innovation through emerging AI technologies
• Utilize tools and platforms such as LangChain, LlamaIndex, Databricks, PySpark, Kubernetes, and Terraform to build and maintain production-grade AI applications

Key Skills Generative AI, LLMs (GPT, Claude, LLaMA), RAG pipelines, Multi-Agent Systems, LangChain, LlamaIndex, AWS, Azure, GCP, Databricks, PySpark, Kubernetes, Terraform, MLOps/LLMOps, Model Governance, Responsible AI