Machine learning engineer

What happens for a machine learning engineer?

• The brief for a machine learning engineer is one person, not a roster.
• You write that brief before anyone is approached.
• Three finalists are introduced for a machine learning engineer.
• You interview them and you choose.
• You pay the person you select directly.
• There is no monthly markup on the wage.
• If a machine learning engineer leaves within six months, we search again.
• That second search is not a refund.
• Shared hours for a machine learning engineer go in the brief.
• Name the software required on day one.
• Onboarding covers the first 30, 60 and 90 days.
• Time tracking can be set up after the start.
• A call line with SMS can be part of setup.
• Messaging tools are recommended for the team.
• You arrange payment for a machine learning engineer yourself.
• Contract guidance stays general and simple.
• It is not a substitute for your own adviser.
• Discovery starts with the bottleneck in the business.
• The role is written before sourcing begins.
• Applicants are screened before you meet anyone.
• References are checked on the shortlist.
• About 21 days is the target to three finalists.
• That timing is a target, not a promise.
• The deposit opens the search.
• The balance is due when you select someone.
• Remote staffing is another name for this hire.
• A dedicated offshore hire is the offer.
• Outsourcing the queue still leaves you as the manager.
• The person joins your team, not a shared floor.
• Clients also compare a one-time fee with a monthly markup.
• The published fee covers the search for a machine learning engineer.
• Wages for a machine learning engineer are agreed by you.
• We do not employ a machine learning engineer for you.
• You keep the relationship after you select.
• The shortlist for a machine learning engineer is three people.
• Each finalist for a machine learning engineer is interviewed first.
• You can reject the shortlist and talk again.
• The brief for a machine learning engineer names the output.
• Hours you share with a machine learning engineer are written down.
• Tools for a machine learning engineer are listed before day one.
• Month one is for learning the queue.
• Day 60 is when a machine learning engineer runs the queue.
• Day 90 is a simple review of results.
• A replacement search is the guarantee.
• Read the guarantee terms before you rely on it.
• a machine learning engineer can take on this: Clean and document the training set.
• a machine learning engineer can take on this: Run the training with the settings written down.
• a machine learning engineer can take on this: Evaluate on data the model was not trained on.
• a machine learning engineer can take on this: State the failure cases in the note.
• A useful skill here: Python and a model stack your team accepts.
• A useful skill here: Data documentation.
• A useful skill here: Evaluation, not only a demo.
• A useful skill here: No production deploy without review.

How a search works

Process

1. 01

   Agree the brief

   Agree the tasks, tools and hours

2. 02

   Search

   We search and assess candidates

3. 03

   Shortlist

   About 21 days to three finalists is a target

4. 04

   You choose

   You interview them and you choose