ML Engineer

Eqvilent · Remote · Location not stated

Location not statedExperience not statedPublished 23 April 2023Ghost risk: high

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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.

The 20-second read

Experience
Experience not stated
Where you can live
Location not stated
Skills and tools
data analysis, machine learning

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Job details

Where you can work
Location not stated
Employment type
Not stated by the employer
Advertised pay
Not stated by the employer
Experience
Experience not stated
Employer publication date
23 April 2023
First recorded by Psst
2 November 2026
Last checked at the source
3 November 2026

About the job

We are seeking an  ML Engineer who will assist in constructing a system to validate data and ML models. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details.

WHAT YOU’LL BE DOING

  • The task involves the development and upkeep of data pipelines for training and evaluating models
  • Exploratory data analysis will be conducted to enhance model accuracy and performance
  • Experiments and evaluations of machine learning models will be carried out to identify and address any issues

WHAT WE LOOK FOR IN YOU

  • Strong experience in machine learning
  • Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation
  • Strong analytical and problem-solving skills, as well as attention to details

WHY SHOULD YOU JOIN OUR TEAM?

  • Great challenges with many opportunities to prove yourself
  • A welcoming group of highly qualified international professionals
  • Cutting-edge hardware and technology
  • Work remotely from anywhere in the world
  • Access any of our global offices anytime
  • 40 paid days off
  • Competitive salary and performance-based bonuses

Apply on Eqvilent's siteMore remote machine learning and AI engineer jobs →

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Ghost Job Detector: Ghost risk: high
  • Open over a year (1290 days)
  • No pay listed
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