Talented Fullstack Expert Required
Budget: $1,500 – $3,000 USD
We are seeking a highly experienced Full-Stack Developer to design and implement a sophisticated real-time monitoring system focused on detecting and alerting dealer overpayments during gameplay.
This role involves developing both front-end and back-end components, including leveraging machine learning models for anomaly detection.
Responsibilities:
System Design: Design the architecture of a real-time monitoring system for gameplay transactions.
Backend Development: Develop robust backend services to handle real-time data processing and integration of machine learning models.
Frontend Development: Create an intuitive and user-friendly interface for monitoring and alerts.
Data Integration: Combine data from video feeds and transactional records for comprehensive analysis.
Machine Learning Integration: Implement and deploy machine learning models (preferably trained using Python) to detect overpayments.
Real-time Alerts: Develop and implement real-time alerting mechanisms to notify staff of discrepancies.
Deployment: Deploy the system on a cloud platform (AWS, Google Cloud, Azure) for optimal performance and scalability.
Maintenance: Monitor, maintain, and continuously improve the system’s performance and accuracy.
Qualifications:
Expertise in Full-Stack Development: Strong experience with back-end technologies (Node.js, Django, Flask) and front-end frameworks (React, Angular, Vue.js).
Data Processing & Integration: Proficiency in handling and integrating large datasets from multiple sources (SQL/NoSQL databases, real-time video feeds).
Machine Learning: Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and integrating ML models into production systems.
Real-Time Data Processing: Experience with real-time data processing tools (Apache Kafka, RabbitMQ).
Cloud Platforms: Experience deploying applications to cloud platforms like AWS, Google Cloud, or Azure.
DevOps Skills: Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring tools.
Problem-Solving Skills: Excellent analytical and problem-solving skills, with attention to detail.
Communication: Strong verbal and written communication skills.
Preferred Qualifications:
Experience with React Native.
This role involves developing both front-end and back-end components, including leveraging machine learning models for anomaly detection.
Responsibilities:
System Design: Design the architecture of a real-time monitoring system for gameplay transactions.
Backend Development: Develop robust backend services to handle real-time data processing and integration of machine learning models.
Frontend Development: Create an intuitive and user-friendly interface for monitoring and alerts.
Data Integration: Combine data from video feeds and transactional records for comprehensive analysis.
Machine Learning Integration: Implement and deploy machine learning models (preferably trained using Python) to detect overpayments.
Real-time Alerts: Develop and implement real-time alerting mechanisms to notify staff of discrepancies.
Deployment: Deploy the system on a cloud platform (AWS, Google Cloud, Azure) for optimal performance and scalability.
Maintenance: Monitor, maintain, and continuously improve the system’s performance and accuracy.
Qualifications:
Expertise in Full-Stack Development: Strong experience with back-end technologies (Node.js, Django, Flask) and front-end frameworks (React, Angular, Vue.js).
Data Processing & Integration: Proficiency in handling and integrating large datasets from multiple sources (SQL/NoSQL databases, real-time video feeds).
Machine Learning: Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and integrating ML models into production systems.
Real-Time Data Processing: Experience with real-time data processing tools (Apache Kafka, RabbitMQ).
Cloud Platforms: Experience deploying applications to cloud platforms like AWS, Google Cloud, or Azure.
DevOps Skills: Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes), and monitoring tools.
Problem-Solving Skills: Excellent analytical and problem-solving skills, with attention to detail.
Communication: Strong verbal and written communication skills.
Preferred Qualifications:
Experience with React Native.