AI/ML Engineers

ML Engineers
Production models, pipelines, and MLOps from engineers who ship at scale.
Applied Research
Experimentation with clear paths from prototype to product impact.
Data Scientists
Forecasting, experimentation, and analytics embedded in product teams.
AI Platform
Infrastructure, evaluation, and guardrails that keep AI systems reliable.

Roles & expertise

Find the AI experts you need

- Machine Learning Engineer
- AI Engineer
- NLP Engineer
- Computer Vision
- MLOps Engineer
- LLM Engineer
- Research Scientist
- Prompt Engineer
- Data Scientist
- Platform Architect

Open roles

Testimonials

Their partnership, accuracy, and flexibility meet our needs … They have consistently demonstrated great flexibility in understanding and promptly meeting our demands.
Carolina Machado
Talent Acquisition Coordinator · Boticário
They got to the core of the business, which helped us make a faster and more assertive decision. Impressive!
Ana Cinquepalmi
Regional Head of People · Nowports
Combine truly has a process. They have KPI’s and they bring ideas to the table to show what they are doing. That was also something interesting to see for sure.
Nicolas de Paul
Managing Director · Product Minds

Hiring support

Model evaluation
Engineers who build eval harnesses, monitoring, and rollback paths before models reach users.
LLM integration
RAG, fine-tuning, and guardrailed copilots integrated into your existing product stack.
Feature stores
Pipelines and feature stores that keep training and serving environments aligned.
Responsible AI
Teams that understand privacy, bias review, and enterprise security requirements.

Next step

45-min discovery. You leave with salary bands, comp benchmarks & a candidate-availability read for your stack.