ML Engineer

Extyl; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Extyl seeks a middle-level ML Engineer to work on project-based efforts centered on recommendation systems for e-commerce. You will collaborate with client teams to develop and optimize personalization models, from prototyping to production deployment.

The role emphasizes strong Python proficiency and hands-on experience with PyTorch, CatBoost and XGBoost, plus practical knowledge of evaluation metrics for model performance.

Qualifications

• Solid foundation in Python and ML libraries such as PyTorch, CatBoost and XGBoost.
• Experience in model development and deployment, particularly for personalization projects.
• Familiarity with recommendation techniques and evaluation metrics to measure model performance.

Responsibilities

• Develop and maintain ML models tailored for recommendation systems.
• Prototype ideas and deploy models into production environments.
• Collaborate with client teams to ensure models meet user needs and performance goals.

Skills

Python

PyTorch

CatBoost

XGBoost

Recommendation systems

Model deployment

Tools

Git

Docker

Kubernetes

Job description

Extyl is looking for a middle-level ML Engineer for project-based work focused on recommendation systems and e-commerce. Candidates should have experience in model development and deployment, particularly in personalization projects.

In this role, you will be part of a client's team, focusing on the development and maintenance of machine learning models tailored for recommendation systems. Your work will span from initial prototyping to deployment in a production environment, ensuring that models are effective and reliable.

The ideal candidate will have a solid foundation in Python and popular ML libraries such as PyTorch, CatBoost, and XGBoost. You will also need to be familiar with various recommendation techniques and the evaluation metrics to assess model performance, ensuring that the solutions you develop meet user needs effectively.