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описание
RED Global provides IT services and consulting. The company is seeking to turn ML prototypes into scalable, production-ready services through backend services, APIs, and infrastructure supporting machine learning models in production.
задачи
Productionise ML prototypes and deploy scalable services on Kubernetes;
Build and operate APIs for real-time and batch ML inference;
Manage GPU inference workloads, autoscaling, and performance;
Own service reliability, latency, load testing, and production incidents;
Build and maintain data pipelines and production monitoring;
Work with Applied Scientists to productionise new ML capabilities.
требования
Strong experience with Java, Kotlin, or Scala and Python;
Hands-on experience with Kubernetes, Docker, and Infrastructure as Code;
Experience building and operating production HTTP APIs;
Strong AWS experience, including IAM, S3, and CI/CD;
Experience debugging live production systems;
Nice to have: Triton, TorchServe or similar GPU inference platforms, Kafka, Spark or Databricks experience.
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