ML Engineer

Eqvilent; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Cutting-edge hardware and technology

40 paid days off

Performance-based bonuses

Remote work options

Access to global offices

40 paid days off

Competitive bonuses

Job summary

A leading technology company is seeking a skilled ML Engineer responsible for developing and maintaining data pipelines for model training and evaluation. Candidates should possess strong experience in machine learning and demonstrate excellent analytical and problem-solving skills. This role offers competitive compensation, the opportunity to work remotely from anywhere in the world, and access to advanced hardware and technology. Benefits include 40 paid days off and performance-based bonuses.

Qualifications

• Strong experience in machine learning.
• Ability to develop and deploy ML pipelines and workflows.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop and maintain data pipelines for model training and evaluation.
• Conduct exploratory data analysis to improve model accuracy.
• Experiment and evaluate ML models to troubleshoot issues.

Skills

Machine learning

Data preprocessing

Feature engineering

Analytical thinking

Problem-solving

Model evaluation

Analytical thinking

Attention to detail

Job description

Overview

We are seeking aML 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.

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

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

Benefits

• 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