Consultants

MLOps and data engineers inside your team.

A Quince engineer works from inside your team, not from a delivery pod at arm's length. They join your standups, read your codebase, and own outcomes next to your own people. Engage one for a two-week spike or a year-long build.

What they do

  • Stand up MLOps: model CI/CD, feature stores, and drift, cost, and latency monitoring.
  • Take models out of notebooks and into production on infrastructure you control.
  • Build the data engineering underneath: pipelines you can rerun, data you can trust, lineage you can show.
  • Migrate workloads off providers you cannot afford to depend on, building the exit first.
  • Hand over runbooks and train your team to run it without us.

How the engagement works

  • Embedded as dedicated capacity, half-time or full-time, or booked by the hour for a defined question.
  • Matched on what they have shipped and how fast they learn your stack, never on a job title alone.
  • Rate and scope agreed in writing before anyone starts.
MLOpsData engineeringEdge MLLLMs & classical ML
Rates

Three ways to pay.
All in writing first.

No open-ended day rates and no commitment beyond what you have booked. The rate and the scope go in writing before anyone starts.

Hourly

By the hour

Quoted per engagement

For spikes, code reviews, architecture sessions, and short pieces of work. Billed per hour worked, invoiced monthly. No minimum.

SpikesReviewsNo minimum
Monthly

By the month

Quoted per engagement

Dedicated capacity, half-time or full-time, for work that runs over months. One monthly invoice. Cancel with a month's notice.

Half-timeFull-timeA month's notice
Fixed scope

By the scope

Quoted per engagement

A defined piece of work with a written scope and a fixed price. Something demoable every two weeks.

Written scopeFixed priceDemo every two weeks

Rates are set per engagement and depend on seniority and length. Ask, and you get the number in writing before we start.

Either way

What you keep
when they leave.

  • Everything they build runs on infrastructure you control, on standard interfaces you can swap.
  • Runbooks, documentation, and a team that has been shown how to run it.
  • No dependency on Quince. The exit is designed before the work starts.
Start the conversation

Tell us what the team is stuck on.

Thirty minutes, no commitment. We'll say honestly whether one of our engineers would help, and which arrangement fits.

Book a call info@quince-ai.com
For engineers

Rather be the consultant
we place?

We hire MLOps and data engineers who would rather hand a system over than be needed forever. Open roles and the application form are both on our careers page. Nothing that fits? Send an open application. We read every one.

Apply at Quince

Quince AI is a small team in Gothenburg. The people you meet are the people who build.