🛠 Tech Stack

💼 About This Role

You'll architect and scale the ML platform powering batch and streaming pipelines for training hundreds of models daily. You'll shape core components using Spark, Flink, and Kubernetes while ensuring robustness and developer-friendliness. This role offers ownership of a high-impact platform processing billions of records.

🎯 What You'll Do

• Architect batch and streaming pipelines for ML training and evaluation
• Design and operate ML job execution frameworks
• Build internal API servers and tools for Kubernetes job orchestration
• Monitor data infrastructure using ClickHouse and PostgreSQL

📋 Requirements

• 4+ years in data systems or ML infrastructure
• Strong coding proficiency in Python and/or Java
• Experience with Spark, Flink, Kubernetes, Terraform, and Helm
• Proven ability to apply LLM-based tools for productivity

✨ Nice to Have

• Master's degree in Computer Science or related field
• Experience with ClickHouse or PostgreSQL
• Familiarity with Argo Workflows

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite or Virtual Loop· 3 hours