Machine Learning
ML engineers, applied scientists, and research-to-production leads across recommendation, ranking, vision, and NLP systems.
Recruiting engineers and technical leaders building the future of artificial intelligence — from foundation models and AI infrastructure to production-ready machine learning systems.
ML engineers, applied scientists, and research-to-production leads across recommendation, ranking, vision, and NLP systems.
Foundation model training, fine-tuning, RAG, agents, and applied LLM systems for enterprise and consumer products.
Training infrastructure, inference platforms, distributed compute, observability, and model lifecycle operations.
Productionizing models into reliable services — APIs, SDKs, evaluation harnesses, and developer tooling.
Feature stores, vector databases, data pipelines, and the platform layer underneath modern AI products.
Research scientists, staff engineers, and AI tech leads anchoring long-horizon model and platform bets.
The specialties we source and vet — from ML platform to applied research.
Start with a pilot engagement and scale into a permanent bench across machine learning, generative AI & LLMs, and AI infrastructure & MLOps.