AI / ML Engineer High Scale Systems

Role Overview

Responsible for building, optimizing, and operating high-scale AI/ML systems with strong performance, accuracy, and reliability guarantees.

Key Responsibilities

• Develop and deploy ML and GenAI models for enterprise use cases
• Build RAG pipelines capable of processing millions of documents
• Optimize inference latency and model throughput
• Implement monitoring for accuracy, drift, and performance
• Support MLOps pipelines and CI/CD for models

Performance, Load & Accuracy Focus

• Experience tuning models for latency and cost efficiency
• Define and monitor precision, recall, and accuracy metrics
• Support load testing and stress testing of AI services
• Experience with distributed inference architectures

Technology Stack

• Python
• PyTorch, TensorFlow, HuggingFace
• AWS AI services
• Vector databases and embeddings
• MLOps tools, CI/CD pipelines

Experience & Qualifications

4 8+ years of AI/ML engineering experience with exposure to enterprise-scale systems.