ML Engineer
Company:Toogeza
Location:Ukraine
Languages:English
Seniority level:Middle, 3+ years
Experience:3+ years
Skills:
AWSDockerPythonSQLApache AirflowGitMachine Learning
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 (Nice-to-Have). Familiarity with testing and MLOps practices (Nice-to-Have). A Master’s degree in Computer Science, or a related field (Nice-to-Have).
Responsibilities:
Design, create, and deploy machine learning models for regression, classification, and clustering. Develop and improve recommendation systems. Write clean, efficient, and scalable code in Python. Use AWS tools and services for cloud-based ML solutions. Manage workflows with Airflow and containerized environments with Docker. Write and optimize SQL queries. Follow best practices in version control (Git) and testing. Apply basic MLOps practices.
