Remote ML Engineer: Data Pipelines & Model Validation

Eqvilent; United States; Remote; 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

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

Job description

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.