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ML Engineer

Eqvilent

Key Facts

Remote From: 
Anywhere
Full time
English

Other Skills

  • •
    Composure
  • •
    Analytical Thinking
  • •
    Detail Oriented
  • •
    Problem Solving

Roles & Responsibilities

  • 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

Requirements:

  • 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

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
Ready to apply?
APPLY
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