Tech Recruiting · AI CV Screening · 50 free scans

Fill ML engineer roles 3× faster with AI screening

Hirecise ranks ML engineering CVs by production model deployment experience, framework depth, and MLOps maturity — shortlist in under 5 minutes.

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From $197/month · Cancel anytime

5 min
Typical time to a ranked shortlist
0–100
AI fit score, every CV
11
Engineering roles covered
The Challenge

Research experience and production ML experience aren't the same thing

Plenty of strong applicants can train a model in a notebook; far fewer have shipped one to production, monitored drift, and kept it running under real traffic. Reading through academic-style resumes to find who's actually done production ML work takes real technical screening time.

How Hirecise solves it — Machine Learning Engineer Hiring
Distinguishes research/notebook experience from production deployment experience
ML framework depth (PyTorch, TensorFlow, scikit-learn) scored against project context, not just listed skills
MLOps signals — model monitoring, versioning, retraining pipelines — extracted when present
200 ML engineering CVs ranked in under 5 minutes
Flags candidates whose experience is primarily academic rather than production-facing
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How It Works

From job post to shortlist in 4 steps

No integrations, no setup calls. Post, collect, score, hire.

01

Post your engineering role

Describe the stack, seniority, and required experience. Hirecise sets scoring criteria automatically.

02

Candidates upload their CVs

Share your Hirecise application link on any job board. CVs are ingested the moment they arrive.

03

AI scores every candidate

Each CV gets a 0–100 match score weighted by stack fit, seniority signals, and role fit.

04

Receive ranked shortlist

Your top 15+ candidates delivered in minutes. Interview the best first, before they take another offer.

We're new, and that works in your favour.

Hirecise is early. That means you get founder pricing, direct access to the person who built it, and a real say in what gets built next.

FAQ

Questions about machine learning engineer hiring

Yes. Hirecise looks for production signals — deployment, monitoring, serving infrastructure — versus purely academic or notebook-based project descriptions, and scores accordingly.
Yes. PyTorch, TensorFlow, JAX — specify your stack and Hirecise weights candidates against that particular framework depth.
Yes. Include MLOps requirements in your job description and Hirecise scores model-monitoring, CI/CD-for-ML, and retraining-pipeline experience as its own signal.
Yes. Every Hirecise account starts with 50 free candidate scans — no credit card required. You can screen your first batch of CVs and see the ranked shortlist before deciding to upgrade.
Yes. Plans are billed monthly, or annually at a discount, with no long-term contract — cancel anytime from your billing settings.
Start screening machine learning engineer hiring candidates today

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5 minutes away.

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