Description

Senior Backend ML Engineer-Remote-EU
RED is looking for a Senior Backend ML Engineer to help turn ML prototypes into scalable, production-ready services.
You will work closely with Applied Scientists, taking ownership of the backend services, APIs and infrastructure supporting ML models in production.
This is a fully remote opportunity within EU and it's a 12-month long contract with extension possibilities.
Key Responsibilities

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.

Key Skills

Strong Java/Kotlin/Scala and Python
Hands-on 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.