ML Engineer

Summary

Join toogeza, a Ukrainian recruiting company, in finding a Machine Learning Engineer for their client, Playa AI, a company specializing in AI solutions for the iGaming industry. This is a full-time, remote position. The role involves designing, creating, and deploying machine learning models, developing recommendation systems, and improving machine learning workflows. The ideal candidate will have at least 3 years of hands-on experience in machine learning and data science, strong skills in Python, SQL, and Git, and experience with AWS, Airflow, and Docker. Playa AI offers benefits such as an education budget, professional English courses, and medical insurance.

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

Responsibilities

• 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
• Work with the team to follow best practices in version control (Git) and testing
• Apply basic MLOps practices to improve machine learning processes

Preferred Qualifications

• Experience in building and deploying recommendation systems
• Familiarity with testing and MLOps practices
• A Master’s degree in Computer Science, or a related field

Benefits

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