ML Engineer

Eqvilent is looking for a thoughtful and detail-oriented ML Engineer to join our team. You will play a key role in building and maintaining robust systems for data validation and machine learning model evaluation, ensuring high performance and accuracy across our projects.

Key responsibilities

• Develop and maintain scalable data pipelines for training and evaluating machine learning models.
• Conduct thorough exploratory data analysis to continuously improve model accuracy and overall system performance.
• Design and execute experiments to identify potential issues and optimize model behavior.
• Collaborate on the deployment of workflows that streamline data preprocessing and feature engineering.

Requirements

• Strong professional experience in machine learning and model development.
• Proven track record in building and deploying end-to-end machine learning pipelines.
• Deep understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Exceptional analytical and problem-solving skills with a meticulous attention to detail.

What we offer

• Engaging challenges that provide significant opportunities for professional growth.
• Collaboration with a welcoming team of highly qualified international experts.
• Access to cutting-edge hardware and the latest technology stacks.
• A fully remote work environment allowing you to work from anywhere in the world.
• Generous benefits including 40 paid days off per year.