Description

Mid-Level ML Infrastructure Engineer-Remote-EU
RED is looking for a Mid-Level ML Infrastructure Engineer to support and maintain highly available machine learning services in production.
You will work closely with Applied Scientists to productionise ML models and ensure the underlying infrastructure is scalable, reliable and well monitored.
This is a fully remote opportunity within EU and it's a 9-month long contract with extension possibilities.
Key Responsibilities

Support and troubleshoot real-time ML inference services in production.
Build and maintain AWS infrastructure, CI/CD pipelines and Infrastructure as Code.
Manage environments using Kubernetes, Docker, autoscaling and monitoring.
Support GPU infrastructure, including NVIDIA/CUDA upgrades and troubleshooting.
Manage real-time and batch data pipelines using Airflow, Databricks Workflows or similar tools.
Work with Applied Scientists to move ML prototypes into production.
Write and review production-quality Python
Participate in 24x7 on-call support and resolve live production incidents.

Key Skills & Experience

Strong experience with Linux, Kubernetes and Docker.
Good knowledge of Python, Git and CI/CD.
Hands-on experience with Infrastructure as Code.
Experience with Airflow, Databricks Workflows or equivalent.
Experience supporting high-load production environments and resolving live incidents.