287
Регистрационный номер: 75877686
- Подробности
- Основная информация
- Компания
What you’ll drive:
ML Development & Implementation
- Develop, train, and iterate on ML models for retrieval and ranking use cases.
- Work with embedding-based deep learning models and classical ML approaches.
- Perform data analysis, feature exploration, and systematic error analysis to improve model performance.
- Build and maintain reproducible experiments and robust offline evaluation pipelines.
- Optimize models for both offline metrics and online business KPIs.
Production & Operations
- Support and improve ML components in production, focusing on reliability and observability.
- Design and operate batch and real-time training and inference workflows in a cloud environment.
- Monitor model performance and data quality to detect drift or degradation.
- Collaborate on scalable training and serving infrastructure to ensure low-latency performance.
- Participate in incident analysis and contribute to long-term fixes for ML systems.
Experimentation & Collaboration
- Assist in designing, running, and analyzing offline experiments and online A/B tests.
- Work closely with Data Engineering to build efficient data pipelines and feature sets.
- Participate in design reviews and code reviews to ensure maintainability and production readiness.
- Partner with Product and Analytics to understand business goals and translate them into technical ML tasks.
What makes you a GR8 fit:
Must-have
- 3+ years of professional experience in Machine Learning or Applied Data Science.
- Strong Python skills and experience writing clean, production-quality code.
- Solid foundation in core ML tools: NumPy, Pandas, scikit-learn, etc.
- Hands-on experience with deep learning frameworks (PyTorch or TensorFlow).
- Practical experience with embedding models and similarity-based retrieval.
- Experience with tree-based models (LightGBM, XGBoost).
- Clear understanding of ML evaluation metrics, experimentation, and applied statistics.
- Experience working with Git, Linux, Docker, and standard development workflows.
Nice-to-have
- Experience with recommendation systems or search-related problems.
- Familiarity with two-tower / dual-encoder architectures.
- Knowledge of ANN methods and large-scale retrieval (e.g., FAISS).
- Understanding of common ML production challenges (training–serving skew, data leakage, model drift).
- Practical experience with cloud-native ML tools (e.g., AWS SageMaker).
- Experience with experiment automation or hyperparameter optimization (Optuna, Ray Tune).
Tech Stack:
- Languages: Python, SQL.
- Core ML / DS: NumPy, Pandas, scikit-learn.
- Deep Learning: PyTorch / TensorFlow.
- Models: LightGBM, XGBoost, Two-Tower.
- Cloud & Data: AWS, S3, Glue, SageMaker.
- Dev & MLOps: Git, Docker, Linux.
Why you’ll love working here:
Benefits Cafeteria — annual budget you allocate to:
Sports • Medical • Mental health • Home office • Languages.
Work-life & support
- Paid maternity/paternity leave + monthly childcare allowance.
- 20+ vacation days, unlimited sick leave, emergency time off.
- Remote-first + tech support + coworking compensation.
- Team events (online/offline/offsite).
- Learning culture with internal courses + growth programs.
€
3000 - 5000
Место работы
- Rīga, Латвия
- Удалённая работа
Тип работы
- Полный рабочий день
Контактное лицо
Yelyzaveta Merezhko
Yelyzaveta Merezhko
GR8 Tech is a global product company that provides innovative, scalable platforms and business solutions for the iGaming industry. We provide great gaming tech to satisfy even greater ambition. Leveraging our extensive experience, the GR8 Tech platform successfully handles millions of active players, offering cutting-edge practices for development and growth in the gambling industry. We develop complete tech coverage for gambling businesses worldwide, including iGaming platform solutions, consulting, integration, and long-lasting operation services.
Operating in the dynamic tech market, GR8 Tech is committed to providing comprehensive support and development opportunities for our employees. Remote work is one of our most valuable benefits. We believe that in todays world, it is entirely possible to work from anywhere while maintaining a healthy work-life balance. The foundation of successful remote work lies in loyalty, trust in people and support at all levels. Join us!
Регистрационный номер: 75877686
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