Computer Science jobs in Singapore

Salary Range: $13,000 to $18,000 (commensurate based on experience)

Work Location: Within walking distance of One-North MRT

Work Hours: 8.30am to 6pm (Monday to Thursday), 8.30am to 5.30pm (Friday)

Background:

Our client is a mission-driven organisation that plays a pivotal role in advancing national digital initiatives. With a strong emphasis on harnessing emerging technologies, the team delivers AI and digital solutions that support critical operations across the public sector while also engaging private sector partners to co-develop scalable innovations. This leadership role offers the opportunity to influence the direction of AI software development and provide deep technical guidance across complex, mission-critical projects.

Responsibilities:

• Drive the strategic development and engineering roadmap for AI platforms and solutions, leading multidisciplinary teams in the delivery of scalable, high-performance systems.
• Oversee the design, development, integration, and deployment of AI software products across a variety of domains such as computer vision, language processing, embodied AI, and multi-modal systems.
• Serve as the subject matter expert on AI engineering, providing consultancy and technical direction across internal teams and external agency partners.
• Evaluate and optimise modelling approaches to balance accuracy, performance, and scalability, supporting deployment across multi-site or mission-critical environments.
• Guide engineering practices across the software lifecycle including DevOps, MLOps, quality assurance, and integration testing, ensuring consistency with industry best practices.
• Work with stakeholders to identify gaps and opportunities in AI capabilities and co-develop technology roadmaps aligned with operational needs.
• Mentor and lead high-performing technical teams, fostering a culture of collaboration, continuous learning, and innovation.
• Engage with multi-agency project teams to co-develop solutions and ensure seamless delivery and interoperability.
• Stay current with advancements in AI technologies and guide the evaluation and adoption of emerging frameworks and architectures.

Requirements:

• Bachelor’s or Master’s degree in Information Systems, Computer Science, Computer Engineering, or a related field.
• At least 10 years of experience in product or platform development, including a minimum of 8 years working directly in AI-related projects and 5 years leading large-scale AI deployments across multiple sites.
• Strong expertise in full-stack software engineering and cloud-native development, with hands-on experience in AWS or Azure environments.
• Deep knowledge of deep learning frameworks such as PyTorch, TensorFlow, Keras, or Caffe, and experience programming in Python, C++, or similar languages.
• Proven leadership in delivering complex, cross-functional software projects involving diverse teams and multi-agency stakeholders.
• Understanding of scalable architectures for AI/ML platforms, data science workflows, and cloud infrastructure.
• Experience in developing digital products related to security, such as surveillance systems, physical security solutions, cybersecurity platforms, or other mission-critical applications, is highly preferred.
• Prior experience working on products deployed in public sector or national-level environments is a plus.