Lead Engineer/ Engineer, MLOps, AI Platform, xCloud

HTX is the world’s first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore’s frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team’s advantage and secure Singapore as the safest place on planet earth. The jobholder will be part of the AI Platform Team. We are a group of passionate developers and engineers who understands DevSecOps and MLSecOps is a culture and embracing AI and Digitalisation is the future. The team is charged with a mission to transform the way HTX delivers software infused with AI by leveraging on the latest technologies to enable agile software development, zero-trust security, continuous devsecops and artificial intelligence. We are looking for an Engineer, MLOPs, AI Platform to assist the team and develop our AI platform and automate the deployment of AI workloads.

- Work with Users to develop ML workflows for operations. - Assist in the designing, development, and maintenance of scalable AI and ML platforms and infrastructure. - Ensure best practices in MLSecOps, software development, including code quality, testing, and documentation. - Assist in driving adoption of MLOps tools and frameworks such as Kubeflow, MLflow, and RunAI. - Assist and collaborating with product management, data science, and IT operations to integrate AI and ML capabilities across HTX Teams. - Work closely with software engineers and data scientists to understand platform requirements and provide solutions that enhance machine learning workflows. - Foster a culture of continuous improvement, driving innovation in MLOps practices.

- Tertiary education in Computer Science, Computer Engineering, or any relevant areas - 2 - 8 years of experience in scripting languages such as Python, R, SQL, and Linux Shell scripting. - 2 - 8 years of experience in containerization technologies like Docker and Kubernetes. - Hands-on experience with MLOps tools such as Kubeflow, MLflow, and RunAI. - Experience working in an agile framework, with participation in agile ceremonies and iterative development. - Excellent communication and collaboration skills to work effectively across teams. - Strong problem-solving abilities to troubleshoot complex AI platform issues. - Preferably more than 5 years of relevant experience with a focus on AI, machine learning, and MLOps. All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance. As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement. #LI-HL1