Senior ML Ops Engineer

Job description

About Wizard AI At Wizard AI, we’re building the top-performing AI Shopping Agent that delivers the best products from across the web with unmatched accuracy, quality, and trust. Our ML models power the core of our platform, and we’re seeking an experienced Senior MLOps Engineer to take ownership of how our machine learning systems run reliably and efficiently in production. The Role: As a Senior MLOps Engineer at Wizard, you’ll own the end-to-end ML lifecycle – from model packaging and deployment to monitoring, observability, optimization and scaling – for a custom-built inference platform powering a live conversational shopping agent. This is not a standard cloud ML pipeline role; we run multiple specialized inference engines handling real-time inference for high-stakes shopping decisions, and the work requires both hands-on operational depth and the architectural judgement to evolve the platform as Wizard scales. You’ll work closely with ML Engineers, Data teams, and DevOps, with real influence over how the infrastructure is designed – not just how it runs. What You’ll Do: - Build, maintain, and optimize production-grade ML pipelines, enabling seamless transitions from experimen...