Roles & Responsibilities
We are looking for a highly skilled and innovative AI Software Engineer to join our team and lead the integration of AI-driven capabilities into our nation’s 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, develop, and deploy AI-driven applications to automate workflows and optimize business operations.Build, test, and maintain machine learning models for process automation, data analysis, and predictive insights.Integrate AI solutions into enterprise systems using APIs, cloud services, and automation platforms.Collaborate with stakeholders to identify use cases where AI and automation can add value.Implement and manage automation workflows with RPA tools (e.g., Power Automate, UiPath) to streamline repetitive tasks.Develop scalable pipelines for data collection, preprocessing, and model training.Showcase innovative AI project prototypes to demonstrate feasibility and business impact.Work closely with cross-functional teams to ensure secure, efficient, and reliable deployment of AI solutions.Stay updated on the latest trends in AI / ML and automation to bring fresh ideas into the team.Requirements :
Bachelor’s degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field.At least 2 years of experience in software development with Python or similar programming languages.Hands-on experience with automation tools (RPA / Power Automate) as a strong foundation for AI workflows.Familiarity with AI / ML frameworks such as TensorFlow, PyTorch , or scikit-learn.Strong knowledge of cloud environments (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).Experience with data processing and analytics pipelines.Prior showcase of AI project implementations will be highly advantageous.Strong problem-solving skills with the ability to translate business requirements into technical solutions.Exposure to open-source AI tools and frameworks is a plusBy submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com / privacy-policy).
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Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781
Tell employers what skills you have
TensorFlow
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Kubernetes
AWS
Amazon Redshift
Public Sector
Artificial Intelligence
Automation Tools
Infrastructure Deployment
Computer Vision
PyTorch
Python
Containerization
Docker
Python Programming
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Software Development
Architecture & Deployment