Detección de Anomalías Jobs
Anomaly Detection is the process of identifying unexpected patterns or behaviors in data. It can help detect errors in data or uncover malicious activity. Anomaly Detection Engineers specialize in developing algorithms to search large data sets for outliers and anomalies that don't fit with the rest of the data. Depending on the application, Anomaly Detection Engineers can develop supervised or unsupervised methods to detect anomalies of various kinds, from time series forecasting models to deep learning for intrusion detection.
Here's some projects that our expert Detection Engineers made real:
- They created modifications on a multivariate time series anomaly detection model, perfect for predictive analytics applications.
- They developed an analysis to detect anomalous activities in blockchain systems using deep learning algorithms and techniques.
- They adapted existing projects from sources like Github to meet the needs of their coursework, allowing them to more accurately apply Neural Network theories.
With Anomaly Detection, engineers can create projects that promise exceptional results no matter the size of the dataset or application. If you're interested in discovering anomalous behaviors or uncovering underlying patterns, then consider hiring an Anomaly Detection Engineer today! Freelancer.com offers unparalleled opportunity to find and hire the right engineer to make your project a reality.
De 1,225 opiniones, los clientes califican nuestro Detection Engineers 4.83 de un total de 5 estrellas.Contratar a Detection Engineers
Anomaly Detection is the process of identifying unexpected patterns or behaviors in data. It can help detect errors in data or uncover malicious activity. Anomaly Detection Engineers specialize in developing algorithms to search large data sets for outliers and anomalies that don't fit with the rest of the data. Depending on the application, Anomaly Detection Engineers can develop supervised or unsupervised methods to detect anomalies of various kinds, from time series forecasting models to deep learning for intrusion detection.
Here's some projects that our expert Detection Engineers made real:
- They created modifications on a multivariate time series anomaly detection model, perfect for predictive analytics applications.
- They developed an analysis to detect anomalous activities in blockchain systems using deep learning algorithms and techniques.
- They adapted existing projects from sources like Github to meet the needs of their coursework, allowing them to more accurately apply Neural Network theories.
With Anomaly Detection, engineers can create projects that promise exceptional results no matter the size of the dataset or application. If you're interested in discovering anomalous behaviors or uncovering underlying patterns, then consider hiring an Anomaly Detection Engineer today! Freelancer.com offers unparalleled opportunity to find and hire the right engineer to make your project a reality.
De 1,225 opiniones, los clientes califican nuestro Detection Engineers 4.83 de un total de 5 estrellas.Contratar a Detection Engineers
Yurtdışı Bahis Finans ve Canlı Destek
6 días left
Bahis sektöründe faaliyet gösteren uluslararası ekibimize, hem finansal analiz hem de canlı destek alanlarında görev alacak takım arkadaşları arıyorum. Çalışma lokasyonu yurt dışıdır; gerekli tüm izin ve konaklama süreçlerinde destek sağlanacaktır. Görev kapsamı • Finans tarafında: Günlük/haftalık raporlar hazırlayarak finansal analiz yapmak, nakit akışını izlemek, anomali ve riskleri erkenden tespit edip yönetime raporlamak. • Canlı destek tarafında: Türkçe dilinde oyuncu taleplerini anlık sohbet kanallarından yanıtlamak, çözüm sürecini takip edip kayıt altına almak. İngilizce, Almanca veya İspanyolca bilgi sahibiyseniz bu dillerde de hizmet verebilme esnekliğiniz artı değer sa...
$38 / hr
Average bid
Architect Payment Fraud Alert System
4 días left
I need a clear, scalable architecture that can detect and instantly alert on unusual spending patterns in our payment flow. The focus is narrow and well-defined: draw insights from live and historical transaction history, spot deviations from normal customer behavior, and trigger actionable alerts before settlement is completed. Scope of work • Map the entire transaction-processing path and identify points where real-time analytics can be inserted without adding noticeable latency. • Define the data lake or streaming layer that will store raw and enriched transaction history. • Recommend the analytics engine—rules, machine-learning models, or a hybrid—best suited for spotting spending anomalies while remaining extensible to other fraud signals later (for e...
$1131
Average bid
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