#EG Tech Lead

NCS Group; Singapore; On-site; SGD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Professional development support

Job summary

NCS Group in Singapore seeks an experienced Tech Lead to oversee the design and deployment of AI-driven solutions. This role demands strong technical leadership combined with hands-on expertise, working closely with various stakeholders to ensure scalable AI systems meet industry standards.

The ideal candidate will have over 4 years of experience in AI development, proficiency in Python, and familiarity with Azure AI services. The position offers competitive compensation and opportunities for professional growth.

Qualifications

• More than 4 years of hands-on experience in AI development and implementation.
• Strong proficiency in Python programming.
• Hands-on experience with Azure AI and cloud services.

Responsibilities

• Lead AI solution architecture, design, and end-to-end implementation.
• Collaborate with cross-functional teams to identify AI opportunities.
• Mentor junior engineers and data scientists.

Skills

AI development and implementation

Python programming

Azure AI and cloud services

Machine learning frameworks (TensorFlow, PyTorch)

Video analytics

DevOps practices

Agile delivery environments

Leadership

Project management

Problem-solving

Communication skills

Analytical skills

Education

Bachelor’s degree in Computer Science or Information Technology

Job description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

As a Tech Lead, you will lead the design, development, and deployment of AI-driven solutions, supporting enterprise AI initiatives and transformations. You will combine strong hands‑on technical expertise with leadership responsibilities, working closely with cross‑functional stakeholders to deliver scalable, secure, and high-impact AI systems.

Qualifications

What will you do?

AI Architecture & Solution Delivery

• Lead AI solution architecture, design, and end‑to‑end implementation across projects
• Develop, optimize, and deploy AI models using Python and cloud‑based AI services
• Integrate video analytics and video processing capabilities into AI solutions
• Ensure AI systems meet scalability, performance, reliability, and security standards

Cloud & Platform Engineering

• Design and implement AI solutions on Azure and other cloud platforms as required
• Support edge AI deployment strategies where applicable
• Apply DevOps practices to streamline AI development, deployment, and monitoring

Stakeholder & Delivery Collaboration

• Collaborate with cross‑functional teams to identify and evaluate AI opportunities
• Participate in requirements gathering and review functional specifications with Business Analysts
• Work with the team lead to ensure designs and code align with architecture principles and standards

Quality & Governance

• Participate in peer reviews to improve solution quality and maintain best practices
• Ensure compliance with technical standards, security policies, and project guidelines

Leadership & Continuous Improvement

• Mentor and guide junior engineers and data scientists
• Stay current with emerging AI technologies, tools, and industry trends
• Contribute to strategic thinking and continuous improvement initiatives

The Ideal Candidate Should Possess

Experience & Skills

• More than 4 years of hands‑on experience in AI development and implementation
• Strong proficiency in Python programming
• Hands‑on experience with Azure AI and cloud services
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Familiarity with video analytics and AI‑based video processing
• Knowledge of DevOps practices within AI or data projects
• Experience working in agile delivery environments
• Strong leadership, project management, problem-solving, and communication skills
• Excellent analytical, strategic, and solution‑oriented thinking

Certifications (Preferred)

• Microsoft Certified: Azure AI Engineer Associate
• Certified Artificial Intelligence Professional (CAIP)

Education

• Bachelor’s degree in Computer Science, Information Technology, or a related field

Additional Information

Why Join NCS

• Lead high‑impact Data & AI advisory programs for major enterprises and public sector clients.
• Shape enterprise strategies and governance frameworks that drive real transformation.
• Work with a talented, multidisciplinary team in a collaborative environment.
• Competitive compensation and strong professional development support.