AI & Data Science

Bring in Real AI Experience

Your AI and data hires need to do more than understand the concepts; they need to deliver inside a real system with real constraints. We screen for that experience before anything reaches your inbox.

What We Can

What We Can Hire For

Machine Learning

Machine Learning Engineer, MLOps Engineer, AI Research Engineer

Data Science

Data Scientist, Analytics Engineer

Data Engineering

Data Engineer, Data Platform Engineer

AI Strategy

AI Product Manager, AI Program Lead

Our Hiring Process

Need a data scientist or ML engineer who's proven in the real world?

We can help you find experienced AI, ML, and data professionals who deliver impact from day one.

Let's Talk

We Learn the Problem First

Before sourcing, we understand the role, the team, and the actual problem the hire needs to solve.

We Screen for Real Experience

We check for production-level work, not just theoretical knowledge, before anyone reaches your inbox.

We Send a Short List

A small set of verified candidates, not a flood of resumes to filter through.

We Stay Engaged Post-Recruitment

We check in after the hire to catch friction points early.

FAQ

Frequently Asked Questions

How to hire a machine learning engineer with real production experience?

Asking what happened after a model was built, monitoring, retraining, failures, separates real experience from theory fast.

What's the difference between a data scientist and a machine learning engineer?

Data scientists usually focus on analysis and insight, while ML engineers focus on building and deploying models into live systems.

How much does it cost to hire an AI engineer through a recruiter?

Cost depends on seniority and specialization, and we walk through pricing once we understand the exact role.

What to look for when hiring for an early-stage AI team?

Comfort with ambiguity and end-to-end ownership tends to matter more than deep specialization at that stage.

Is it hard to find AI talent right now?

Demand is high, but the harder problem is usually verifying real deployment experience rather than just availability.