We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. This role will focus on building and optimizing data pipelines, maintaining and retraining ML models, and contributing to feature development for our Amazon Feature Store. The ideal candidate will have strong experience with ML algorithms, data engineering, and cloud-based solutions.

Requirements:

• Proven experience with ML frameworks and algorithms, including CatBoost, XGBoost, Neural Networks, and Random Forest.
• Proficiency in building and maintaining ML pipelines for data preparation, model training, and deployment.
• Experience with cloud platforms, particularly AWS, and working with Amazon Feature Store.
• Strong programming skills in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of data engineering concepts and tools.
• Ability to work collaboratively with data scientists and data engineers to deliver scalable solutions.
• Spoken English skills — your level should be no lower than Upper-Intermediate.
• Strong analytical and problem-solving skills.

Responsibilities:

• Develop, implement, and maintain robust data pipelines for training and retraining machine learning models.
• Automate workflows to streamline data preparation and model deployment processes.
• Design and deploy new features to the feature store, ensuring data quality and integrity, including backfilling historical data when necessary.
• Collaborate with data scientists and analysts to translate requirements into scalable machine learning solutions.
• Monitor and evaluate model performance, retraining models with updated data as needed to maintain accuracy and relevance.
• Optimize existing ML models to improve efficiency and performance in production environments.

What we offer:

• The exchange of experience.
• Health insurance in Ukraine.
• Periodic performance review every year.
• Paid events attendance.
• Purchase the necessary software.
• Tailored PC Purchase Program.