Your responsibilities, Design, build, and maintain Python microservices powering personalized content recommendations., Productionize, deploy, monitor, and operate machine learning services in cloud-based production environments., Partner with ML Engineers to integrate models into scalable backend services and real-time recommendation workflows., Ensure high availability, low latency, and strong performance through caching, load balancing, auto-scaling, and capacity planning., Own and improve personalization services, including reliability, testability, observability, scalability, and operational readiness., Conduct performance tuning, profiling, and latency optimization for high-traffic recommendation workloads., Collaborate with platform teams to use infrastructure, tooling, and deployment workflows that support fast product iteration., Work with Product Managers, ML Engineers, API Engineers, and Data Engineers to launch ML-powered personalization features. What we offer, 100% paid medical care, Multisport, Creative tax (KUP), Home office allowance, MacBook Pro

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Machine Learning Infrastructure Engineer