Georgian Data Solutions
AI & ML Developer
- Python
- Numpy
- sklearn
- LightGBM
- CatBoost
- SQL
- FastAPI
- MLflow
- Docker
- CI/CD
- DWH
- ETL
- pandas
- RabbitMQ
- ML
- AI
- MS SQL
- Apache Airflow
- SQLMesh
- Prometheus
- Grafana
- ELK
- Datadog
- Английский — B1 — Средний
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Build and develop a deep AI system: from data and feature engineering to models, online scoring, and monitoring.
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Design anti-fraud features: behavioral, graph-based, temporal, aggregates, velocity checks.
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Write and optimize SQL for data marts, aggregations, and incremental pipelines.
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Develop models: rules → ML → ensembles (GBDT, logistic regression, outlier detection, calibration).
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Implement decision engine (approve / review / reject) with full auditability of decisions.
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Work with event streams and queues (RabbitMQ), ensuring idempotency and reliability.
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Monitor data quality and model performance (PR-AUC, ROC-AUC, recall, latency, drift).
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Perform regular retraining, backtesting, A/B testing, and model improvements.
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4+ years of experience.
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Strong Python (pandas, numpy, sklearn; preferably LightGBM/CatBoost).
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Solid SQL skills: window functions, query optimization, incremental processing.
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Understanding of anti-fraud patterns: velocity checks, user/device graphs, anomaly detection, rules + ML approach.
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Experience with production systems: APIs/microservices (FastAPI), queues, logging, monitoring.
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Hands-on experience with imbalanced datasets and threshold tuning based on business cost.
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Understanding of model and business metrics (ROC-AUC, PR-AUC, precision/recall, cost-based metrics).
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Nice to have: MLOps experience (MLflow, Docker, CI/CD), feature pipelines, DWH/ETL tools.
We offer:
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Remote work all across Georgia or office/hybrid format in Batumi.
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Salary relevant to your qualifications in the market.
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Opportunity for professional training and development: corporate training programs and much more.
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Democratic management style and a friendly team.
Join us and become part of our team!