Toogeza is looking for an ML Engineer to build, deploy, and maintain production-ready machine learning solutions. You will solve challenging problems, develop recommendation systems, and improve ML workflows to deliver real-world impact.
What You'll Do
- 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.
What We're Looking For
- 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.
Nice to Have
- Experience in building and deploying recommendation systems.
- Familiarity with testing and MLOps practices.
- A Master’s degree in Computer Science, or a related field.
Technical Stack
- Python, SQL, Git
- AWS, Airflow, Docker
Benefits & Compensation
- Education budget of $600 per year provided.
- Professional English courses.
- Medical Insurance.
Work Mode
This is a fully remote, global position.
Toogeza is an equal opportunity employer.
