Key responsibilities
- Prepare and clean data, support tagging frameworks and perform exploratory analysis to enable modelling and reporting.
- Assist with model training workflows and validate model outputs; build dashboards to track model and campaign performance.
- Build and manage platform software: implement and maintain APIs, services and integrations; write testable code and participate in reviews.
- Ensure enterprise level security: apply secure coding, access controls, encryption and vulnerability checks to meet compliance requirements.
- Site reliability & observability: own CI/CD, monitoring, logging and incident response; maintain runbooks and optimise pipelines for performance and uptime.
- Collaborate with engineers, data scientists and product teams to operationalise metrics, features and model integration.
- Maintain documentation (architecture notes, runbooks, deployment guides) and handover materials for production systems.
- Assist in adapting prototypes for production readiness across client and APAC
Required Skills & qualifications
- At least 2-4 years of experience; or recent graduate in computer science, software engineering or related field.
- Strong fundamentals in coding and algorithms; proficient in at least one language (Python, Java, Go, Node.js, etc.).
- Comfortable with Git, command-line tools and basic Linux.
- Quick learner, proactive, with strong ownership and accountability.
- Good communication skills and ability to work in cross-functional teams.
- Exposure to cloud platforms, containers and orchestration will be a plus
- Basic familiarity with CI/CD tools, infrastructure-as-code or configuration management.
- Experience with logging/monitoring tools or basic MLOps workflows.
- Internships or project work involving deployment, pipeline automation, or platform integrations.
