Senior AI/ML Engineer

The role

The Senior AI/ML Engineer will design and ship end-to-end ML systems including data pipelines, training, evaluation, and deployment. You will own model performance, latency, and cost trade-offs in production.

What you will do

• Design and ship end-to-end ML systems: data pipelines, training, evaluation, deployment
• Own model performance, latency, and cost trade-offs in production
• Build evaluation harnesses and offline benchmarks for fast iteration
• Work directly with product to translate ambiguous goals into measurable model improvements
• Mentor other engineers on ML best practices and code quality

Required qualifications

• 4+ years of applied ML engineering in production environments
• Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems
• Strong Python and PyTorch (or JAX) fundamentals
• Experience with distributed training, GPU optimization, or inference serving
• Pragmatic about trade-offs between research-grade and ship-grade work

About the company

The client is a well-funded AI startup building production-grade ML infrastructure used by enterprise customers.