Machine Learning Engineer

📋 Description

• Build production-grade ML systems and services
• Operationalize ML models and LLM apps for production
• Collaborate with Applied Science, Product, and Platform teams
• Ensure security, observability, cost-efficiency, and reliability
• Move models from experimentation to production with low latency

🎯 Requirements

• 5–11+ years of ML/MLops/Platform/Backend for production ML
• Strong Python skills and one of Java/Go/Scala
• Distributed systems, concurrency, API design, testing
• Experience deploying and operating production ML services
• Hands-on with orchestration frameworks and LLM tooling (LangChain, LlamaIndex)
• Docker, Kubernetes, microservices, REST APIs, and gRPC