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TCB Infotech | Expert Odoo & ERPNext Implementation Partner

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Machine Learning Engineer Hiring Features

How Hiring a Dedicated Machine Learning Engineer Works

From the requirements call to a model tracked against real metrics. Here is how we vet, match and onboard every machine learning engineer we place.

Core Process

Vetting, matching and onboarding, in that order

Vetting

Every engineer is tested on real model work

Before an engineer joins our bench, they are tested on data preparation, feature engineering, model evaluation, and a hands-on task training and scoring a model against a realistic dataset. Only engineers who pass are shortlisted to clients.

  • Data preparation and feature engineering.
  • Model training and evaluation task.
  • A realistic messy-data exercise.
A technical interview and modeling assessment
Matching

You get a shortlist, not a resume pile

We match engineers to your specific problem: the type of prediction you need, the data you have, and the timezone overlap that works for your team. You see 2 to 3 fitting profiles, not fifty.

  • Matched to your prediction problem.
  • Matched to the data you actually have.
  • Matched to your working hours.
Reviewing a shortlist of engineer profiles
Onboarding and Management

A structured start, then you take the lead

The engineer reviews your data, agrees the success metrics with you, and starts on the first model in the first week. You manage priorities directly from there.

  • A review of your data quality and gaps.
  • Agreed success metrics before training starts.
  • Direct day-to-day management by your team.
An engineer onboarding onto a new modeling project
What You Get

Everything included in the engagement

🎯

Dedicated engineer

Works only on your account, not shared across other clients' models.

💬

Direct communication

Access to the engineer on your own tools, with no account manager relay.

📅

Flexible contracts

Full time, part time, or a fixed scope, adjustable with notice as your roadmap changes.

✅

Metric-based reviews

Performance reviewed against the metrics agreed before training started.

🌐

Timezone overlap

Working hours arranged to overlap with your team for stand-ups and reviews.

🔐

Replacement guarantee

A new engineer at no extra cost if the current one is not the right fit.

Start With a Free Consultation

Tell us what you need predicted or classified, and we will shortlist engineers who fit your data and your timezone.

Book a Free Consultation →