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ML Engineer

Eqvilent

Role overview

Qualifications

  • 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

Responsibilities

  • 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

About the company

Eqvilent logo

Eqvilent

Capital Markets & Securities

Quantitative trading powerhouse that provides liquidity on financial markets worldwide using cutting edge technologies in the field of Deep Learning, FPGA, Signal Processing

Company details

Company typeScaleup
IndustryCapital Markets & Securities
Company size51 - 200

Links

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Job description

 

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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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