Middle/Senior Machine Learning Engineer
Description For Middle/Senior Machine Learning Engineer
Globaldev Group is seeking a skilled Machine Learning Engineer to join their Dream Team. The role focuses on building and optimizing data pipelines, maintaining ML models, and contributing to Amazon Feature Store development. The position offers a remote work environment with comprehensive benefits including health insurance and professional development opportunities. The ideal candidate will have strong expertise in ML frameworks, cloud platforms (AWS), and Python programming. This role combines technical expertise with collaborative teamwork, offering opportunities to work with cutting-edge ML technologies while contributing to scalable solutions. The company provides various perks including software purchases, PC programs, and paid event attendance, making it an attractive opportunity for experienced ML professionals looking for growth and innovation.
Responsibilities For Middle/Senior Machine Learning Engineer
- 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
- 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
- Optimize existing ML models to improve efficiency and performance in production environments
Requirements For Middle/Senior Machine Learning Engineer
- 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
- Spoken English skills at Upper-Intermediate level or higher
- Strong analytical and problem-solving skills
Benefits For Middle/Senior Machine Learning Engineer
- Exchange of experience
- Health insurance in Ukraine
- Periodic performance review every year
- Paid events attendance
- Purchase of necessary software
- Tailored PC Purchase Program
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