Added
2 days ago
Type
Full time
Salary
Salary not provided
Related skills
python pandas tensorflow pytorch scikit-learnπ Description
- Advanced ML R&D: design, develop, and maintain production models.
- Behavioral Forecasting: build models to predict bad actors.
- End-to-End Modeling: supervised and unsupervised models to detect anomalies.
- Content Generation: design generative models from profile and transaction data.
- Production Deployment: deploy models in real-time and coordinate with MLOps.
- Experimental Design: lead AB testing to validate model performance.
π― Requirements
- 5+ years in Data Science with a portfolio of ML models.
- Deep theory and practice in supervised/unsupervised learning.
- Python stack: Pandas, NumPy, PyTorch, TensorFlow, Scikit-learn.
- SQL: querying large-scale databases.
- MLOps: MLflow or ClearML in model development and inference.
- Bachelorβs degree in a quantitative field.
π Benefits
- Remote b2b or hybrid work opportunity (Belarus-Moldova).
- Stable job with long-term growth perspective.
- Competitive salary with annual performance review.
- Really good hardware.
- Exciting and challenging work with talented people.
- Continuous learning and career growth opportunities.
- Compensation for professional training, seminars, and conferences.
- Referral program β reward for helping grow the team.
- Company-supported English classes for growth.
- Perks for Minsk and Chisinau office employees.
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