برمجه موقع يقوم بعمل التالي
building our OT Dark Web threat intelligence MVP from the ground up. This includes designing and implementing a scalable data collection and analysis pipeline, developing a machine learning-driven threat intelligence engine, and creating a user-friendly interface for visualization. You’ll work closely with the founder and a team of advisors experienced in OT cybersecurity.
Key Responsibilities
Data Collection and Processing
Develop and implement automated data collection from the Dark Web, targeting OT-specific keywords and data sources.
Ensure data scraping and collection methods are compliant with legal and ethical guidelines.
Machine Learning and Analytics
Build and train machine learning models for entity recognition, sentiment analysis, and pattern recognition within Dark Web data.
Utilize NLP to extract and classify OT-related threat information, analyzing trends and identifying key threat actors and vulnerabilities.
Threat Intelligence Engine
Design and develop a threat intelligence engine to categorize, prioritize, and score OT-specific threats.
Implement scoring algorithms and build a system for alerting and reporting on critical threats.
Dashboard and Visualization
Develop a clean, user-friendly web interface for visualizing OT threat intelligence insights.
Implement search functionality, alerting features, and a reporting module to allow users to generate exportable reports.
Security and Compliance
Ensure all data handling processes and security measures are compliant with relevant cybersecurity standards and data protection regulations.
Implement secure user authentication and authorization.
Required Skills and Experience
Programming: Strong proficiency in Python for data processing and machine learning, with experience in libraries like Scrapy, NLTK, or spaCy for NLP.
Machine Learning: Knowledge of machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch, specifically for NLP and threat detection.
Web Development: Experience with front-end development using React (or similar) and back-end technologies for building dashboards.
Database Management: Proficiency in MongoDB, Elasticsearch, or similar databases for storing and querying large datasets.
Soft Skills: Strong problem-solving abilities, a collaborative mindset, and excellent communication skills.