ML ENGINEER

1 Week ago • All levels • Data Analyst

About the job

Summary

This role involves developing and maintaining data pipelines for training and evaluating machine learning models. The ML Engineer will conduct exploratory data analysis to improve model accuracy and performance, and will carry out experiments and evaluations to identify and address model issues. The ideal candidate is intelligent, detail-oriented, and methodical in their approach to problem-solving. The position offers the opportunity to work with cutting-edge technology and a welcoming international team.
Must have:
  • Strong ML experience
  • Pipeline development & deployment
  • Data preprocessing & feature engineering
  • Model training & evaluation
  • Analytical & problem-solving skills
Perks:
  • 40 paid days off
  • Competitive salary & bonuses
  • Work from anywhere globally
  • Dubai & London office options
  • Cutting-edge hardware & technology
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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
  • You can work in comfortable Dubai and London offices or remotely anywhere in the world
  • 40 paid days off
  • Competitive salary and performance-based bonuses
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