MLOps Engineer

We are looking for a proactive MLOps Engineer to join our staff data engineer and form a new squad. This role is for a forward-thinking engineer who wants to seamlessly bridge the gap between high-throughput data engineering and Machine Learning infrastructure. You will work on our Python and AWS-hosted data streaming platform, owning the full data lifecycle for real-time event tracking to ensure scalability, reliability, and cost-effectiveness. While the basic components are built, you will drive a large rollout of event tracking across different teams, tackling significant data validation, data modelling, and scaling challenges. Crucially, the events you process will directly fuel our AI feature stores and models. You will collaborate closely with analysts, engineers, and product managers to enable accurate reporting for new product features and business KPIs, while simultaneously laying the foundation for our ML lifecycle. As we expand our AI capabilities, you will introduce MLOps best practices to deploy and serve models, with future opportunities to shape our LLMOps architecture.