Job Description

What the role is:Opportunity We are seeking a talented AI Engineer to join our team at the Digital Hub Programme Centre. In this role, you will work on state-of-the-art AI Engineering initiatives, contributing to the design, development and deployment of AI systems at scale, while adhering to robust governance frameworks.What you will be working on:Key Responsibilities \xe2\x80\xa2 AI Engineering Roadmap Execution: Implement the AI Engineering roadmap through research, experimentation and hands-on development. \xe2\x80\xa2 MLOps & Tooling: Design, build and automate MLOps (CI/CD/CT/CM) pipelines and tools to streamline AI workflows (e.g. support seamless model deployment and lifecycle management). Implement domain-specific ML deployment, monitoring and retraining techniques for the AI community. \xe2\x80\xa2 Infrastructure: Develop and manage scalable infrastructure for AI development, deployment and monitoring. \xe2\x80\xa2 Governance & Compliance: Establish governance processes for AI systems, including release criteria, testing frameworks, retraining pipelines and continuous monitoring, to ensure compliance with safety and quality standards in AI systems.What we are looking for:Requirements \xe2\x80\xa2 Tertiary qualification in Computer Science, Information Systems, Computer Engineering or a related fields \xe2\x80\xa2 Minimum of 1 year of experience in MLOps preferred \xe2\x80\xa2 Strong programming skills with good grasp of software development best practices \xe2\x80\xa2 Strong desire to learn and grow within the AI engineering domain \xe2\x80\xa2 Team player with excellent communication skills \xe2\x80\xa2 Self-motivated and driven to deliver high-quality, reliable AI solutions Required skills Machine Learning Development: \xe2\x80\xa2 Experience with developing, deploying and scaling ML models (e.g. object detection) Software Engineering: \xe2\x80\xa2 Proficient in Python programming \xe2\x80\xa2 Proficient in Linux Operating Systems (E.g. Ubuntu, RHEL) \xe2\x80\xa2 Proficient in bash and yaml \xe2\x80\xa2 Proficient with version control (e.g. Git), \xe2\x80\xa2 Proficient with containerisation and orchestration (e.g. Docker/Podman, Kubernetes, OpenShift Container Platform) Previous experience would be advantageous \xe2\x80\xa2 MLOps Expertise: o Data and model versioning (E.g. DVC, clearml-datasets), model serving (e.g. vLLM, Triton Inference Server) and experiment orchestration (e.g. clearml) o Model testing (e.g. directional expectation and invariance testing, robustness testing such as adversarial AI, Brittleness and Explainability) o Model monitoring pipelines and retraining workflows (E.g. Drift Detection) \xe2\x80\xa2 Cloud Infrastructure: o Experience with hyperconverged infrastructure (HCI), storage (e.g. S3, NFS) and networking \xe2\x80\xa2 DevOps: o Familiarity with automation tools (e.g. Argo, Gitlab), monitoring dashboards (e.g. Prometheus/Grafana) and platforms (e.g. Kafka, Redis). o RESTful services (e.g. HTTPS, gRPC) \xe2\x80\xa2 Programming: o Rust, GoAbout Defence Science and Technology Agency:At DSTA, we are looking for Greater Minds who are passionate about developing advanced technological solutions to enhance Singapore\'s defence capabilities. You can look forward to a fulfilling career in an environment that promotes continuous learning and innovation. If you believe that you have the makings of a Greater Mind, begin your journey at DSTA to realise your full potential!

Defence Science and Technology Agency