Path AFull-time embed · start in 72h
Hire Machine Learning Engineers
Vetted ML engineers who build the models that move your metrics, fraud, churn, ranking, forecasting and personalization, embedded in your team.
Hire a ML Engineer →Vetted · matched in 72h
When to hire a ML Engineer.
- You have valuable data but no models turning it into revenue or savings.
- Rules-based systems are leaking money or missing signal.
- You need ML depth without a long, costly senior search.
Best for: CTOs, Heads of Data and Heads of Growth turning data into outcomes.
What they deliver.
- Models for fraud, churn, ranking, forecasting and personalization
- Training pipelines and an eval harness to prove quality
- Deployment and monitoring so models stay accurate in production
- Measurable lift against a clear baseline
Where a ML Engineer delivers most.
ML Engineer, your questions.
What's the difference between an ML and an AI engineer?
ML engineers focus on custom models from your data (fraud, churn, ranking); AI engineers focus on LLM-powered features (copilots, agents). Many briefs need both.
How quickly can they start?
Most ML embeds start within 72 hours.