ML Engineer

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August 4

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toogeza

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Recruitment • HR Tech • B2B

Toogeza is a recruitment and consultancy firm based in Ukraine, specializing in finding talent and providing recruitment solutions for tech companies. They offer a range of services including recruiting, sourcing, selection, onboarding assistance, auditing and setting up HR processes, and recruitment process outsourcing. Toogeza acts as a partner, deeply integrating into the hiring process by offering market insights and helping create team structures. They provide versatile hiring services for various tech domains, markets, and roles. Their core values include talent, top quality, trust, and tenacity. They serve clients worldwide, helping them find suitable candidates for both technical and leadership roles across different industries and markets.

11 - 50 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

📋 Description

• We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. • We are looking for an experienced Machine Learning Engineer to build, deploy, and maintain machine learning solutions that are ready for production. • The Playa helps iGaming platforms boost engagement, revenue, and ROMI by up to 25% by understanding and profiling player behavior, detecting positive and suspicious activities, and delivering tailored recommendations to each player. • 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.

🎯 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. • 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