What the role is:At HTX, our vision is to exponentially impact Singapore\'s safety and security, ensuring a safer and more resilient future for all. Our mission drives us towards force multiplying our Home Team through scientific and technological breakthroughs, and secure Singapore\'s future by empowering our frontlines and enhancing public safety. Joining HTX means becoming part of a dynamic team committed to these critical goals, where your work as a MLOps Engineer will directly contribute to these efforts. In this role, you\'ll have the opportunity to build and optimise machine learning pipelines, ensure seamless deployment of models, scale solutions, and play a pivotal role in safeguarding our nation. If you\'re passionate about making an impact that truly matters, HTX is the place for you.What you will be working on:The job-holder is expected to collaborate with various teams (within HTX and across Home Teams) and is responsible to: a. Work closely with data scientists and other engineers to understand model requirements and deployment needs. b. Translate ML models into scalable APIs to facilitate model interaction with other software components within the application. c. Develop scripts using Infrastructure as Code (IaC) to automate the setup and maintenance of CI/CD pipelines and ML environments, ensuring consistency and reliability. d. Implement scripts and tools to monitor application health and model performance, utilising proper logging, monitoring and alerting systems to track key performance metrics.What we are looking for:
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