Machine Learning Engineer - Remote

Overview

We are looking for an experienced Machine Learning Engineer to build, deploy, and maintain machine learning solutions that are ready for production.

In Short

• Design, create, and deploy machine learning models for regression, classification, and clustering.
• Develop and improve recommendation systems to meet business needs.
• Write clean, efficient, and scalable code in Python.
• Use AWS tools and services to build reliable, cloud-based machine learning solutions.
• Manage workflows with Airflow and handle containerized environments using Docker.
• Write and optimize SQL queries for data extraction, transformation, and analysis.
• Follow best practices in version control (Git) and testing.
• Apply basic MLOps practices to improve machine learning processes.

Requirements

• At least 3 years of hands-on experience in machine learning and data science.
• Strong skills in Python, SQL, and Git.
• Hands-on experience with cloud platforms (preferably AWS), workflow orchestration using Airflow, and containerization with Docker.
• Good understanding of machine learning techniques, such as regression, classification, and clustering.
• Proven ability to deliver robust, scalable, and production-grade code.
• English proficiency at an upper-intermediate level or higher.

Benefits

• Education budget of $600 per year provided.
• Professional English courses.
• Medical Insurance.