AI Software Engineer (Manager) - SPVL

• Exciting opportunity to work with a large team of AI professionals
• Great exposure to government AI products, AI technologies and cloud (GCC)
• Positive working environment with hybrid work arrangement
• Attractive salary package + employment benefits

The role requires strong technical expertise, business acumen, the ability to engage with external partners, and the skill to explain technical solutions in simple terms to non-technical stakeholders.

What you will be working on:

• Lead the software engineering, quality assurance and devsecops technical functions in product team(s)
• Define engineering scope of work based on defined features and requirements and oversee the day-to-day development
• Make technical decisions and advise the team on the software development approach to take, considering trade-offs between the approaches and mitigating known drawbacks
• Integrate software engineering, quality assurance, devsecops, and mlops frameworks, guidelines and processes taking into account industry best practices, into software development activities
• Define, implement and continuously improve software development processes within the team to ensure reliability, and maintainability of released software products
• Collaborate with both internal and external stakeholders to define software features and implement software products that meet their business needs
• Guide the engineering team to write production quality code and deliver products and solution to end users
• Manage team’s resources and work performance and to match individual aspiration with stakeholders’ requirements
• Foster a culture of learning, experimentation, and continuous improvement in the software engineering team
• Keep abreast of new AI and Software engineering practices and technologies, and continuously improve S&S COE’s engineering internal workflow and practices

What we are looking for:

• Min 6 years of relevant professional work experience relating to software engineering, quality assurance or system engineering
• Min 3 years of experience in designing, developing, deploying, and monitoring machine learning and deep learning solutions using Docker, Kubernetes or Kubeflow
• Min 3 years of experience working in Cloud environment (AWS or Azure), experience with Government Commercial Cloud (GCC) environment will be strongly preferred
• Competent in Python programming language, and able to do Bash and PowerShell Scripting on Linux Operating system
• A proven track record of people management (working with AI engineers, Software Engineers, QA Engineers or DevOps engineers) and being able to develop individuals’ careers and motivation to achieve team’s outcomes
• Good to have experience in AI-related technologies, AI/ML, Data Science and Data Analytics

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Liew Chien Hui (Vivian) - R2090138

ScienTec Consulting Pte Ltd - 11C5781