Senior Machine Learning Engineer

About BEES Join us to build the future of B2B commerce! BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow. Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference! What you'll do: Drive BEES AI’s mission, vision, and ML strategy into concrete technical roadmaps and align architecture and standards with long-term goals. Own technical end-to-end delivery of ML pipelines—from architecture and data/feature pipelines through model development, deployment, and production scaling—in partnership with data, platform, and product teams. Design and standardize the ML model development framework (project structure, experimentation, versioning, reproducibility) to improve consistency and reuse across teams. Build and implement observability across the model lifecycle (training and production) via monitoring, logging, and alerting for performance, quality, and drift. Ensure optimized deployments that minimize cost and maximize quality (e.g. scaling, resource allocation, inference optimization) while meeting SLAs. What you'll need: Bachelor's degree in computer science, engineering, mathematics, or any quantitative field. A master's degree is a plus. Relevant experience with ML platform architecture (e.g. feature stores, model registries, training and inference pipelines). Systems thinking (scalability, reliability, latency, cost) Software design patterns for building maintainable, production-ready ML systems. Python, PySpark and SQL. Java, Rust and NodeJS is a plus Kubernetes, Databricks, Terraform, Azure Devops (Git), Azure Cloud, ML Frameworks (BentoML, Kedro, Seldon, KServe, Triton Inference Server, etc.)