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Cyber Security Engineer
1 week ago
About Picus Security
Picus Security is a leading security validation company that empowers organizations to gain a clear picture of their cyber risk based on business context.
Our innovative approach transforms security practices by correlating, prioritizing, and validating exposures across siloed findings, allowing teams to focus on critical gaps and high-impact fixes.
With our award-winning threat-centric technology, you will have the opportunity to pinpoint fixes worth pursuing, offering a 95% recommendation in Gartner Peer Review.
Job Overview
We are seeking a talented Data Engineer to contribute to designing, developing, and maintaining data pipelines as well as AI models and graph database systems.
This role offers an exciting opportunity to work on both data engineering and AI initiatives while fostering growth in these fields.
Key Responsibilities
- Design, construct, test, and maintain data management systems.
- Develop and maintain scalable data pipelines, processing systems, AI model workflows, and graph database schemas.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
- Troubleshoot performance bottlenecks and ensure data quality and integrity.
- Support the design and implementation of data pipelines, processing systems, and AI model workflows.
- Aid in the development, training, and evaluation of AI models under the guidance of senior team members.
- Contribute to data preprocessing and feature engineering tasks crucial for AI model training.
- Assist in deploying AI models and integrating them into existing systems.
Requirements
- BS or MS degree in Computer Science, Engineering, or a related field.
- Proficiency in programming languages, especially Python, for data engineering, AI model development, and graph database management.
- Interest in AI and machine learning concepts.
- Eagerness to learn data pipeline tools and cloud-based data technologies.
- Familiarity with machine learning frameworks.
- Excellent teamwork and communication skills.
- Strong analytical skills and excellent problem-solving abilities.
- Humble, friendly, adaptive, result-oriented personality.
