🛠 Tech Stack

💼 About This Role

You'll design and implement real-time ML inference systems processing millions of events per second. Core impact: drive architectural decisions for cloud-native data and ML infrastructure while owning services end-to-end.

🎯 What You'll Do

• Design and implement real-time ML inference systems
• Drive architectural decisions for ML systems workloads
• Own services throughout lifecycle following DevOps principles
• Review and evaluate state-of-the-art research work

📋 Requirements

• BSc/MSc in Computer Science or similar technical degree
• 4+ years experience in high-performance backend services
• Strong programming skills in Java and Python
• Understanding of distributed systems and OO design

✨ Nice to Have

• Experience with Kubernetes and cloud-native architectures
• Familiarity with Big Data technologies (Spark, Kafka)
• Knowledge of Machine Learning basics

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 60 min