TL;DR

Software Python Engineer (Cloud Inference): Develop and optimize the Everywhere Inference platform, a Kubernetes-based AI inference solution, focusing on API design, ML model integration, and serverless container workflows. Focus on packaging ML models, autoscaling, and collaborating with customers to fine-tune AI workloads.

Salary: Competitive

Company

%hirify_global% is an international cloud and edge leader providing web performance, content delivery, and security solutions to global industry leaders.

What you will do

Develop the Everywhere Inference platform enabling scalable AI inference across environments.
Design and implement APIs and developer tools for AI application deployment and monitoring.
Package and integrate new ML models using Python and ML frameworks.
Optimize serverless container workflows for performance and autoscaling.
Collaborate with customers to fine-tune ML model performance.
Work with cross-functional teams to improve AI applications marketplace and model lifecycle management.

Requirements

English: B2 level or higher
Proficiency in Python for ML tooling or backend development.
Experience with AI/ML pipelines and frameworks like TensorFlow or PyTorch.
Familiarity with Kubernetes, Docker, Helm, and cloud-native tooling.
Problem-solving mindset and interest in distributed systems.
Clear communication and collaborative attitude.

Nice to have

Experience with Go programming and Kubernetes controllers/operators.
Understanding of Kubernetes architecture and GPU scheduling.
Knowledge of Kubernetes security practices.
Contributions to open-source or MLOps communities.

Culture & Benefits

Flexible working hours with remote, hybrid, or office options.
Work from anywhere in the world up to 45 days per year.
Private medical insurance and additional vacation/sick leave days (country dependent).
Language classes and team sports activities.
Modern office spaces with snacks and entertainment options.