Junior AI Security Engineer

Job Description

Job title: Junior AI Security Engineer

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Location: Irving Place, NY

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Rate: $50/hour on W2

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Type: Contract

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Must: In-person interview

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This is an excellent opportunity for an early-career technical professional interested in applying AI, machine learning, Python, and automation to real-world cybersecurity challenges, including threat detection, security log analysis, anomaly detection, and operational efficiency.

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Working alongside senior engineers and an Enterprise Architect, you will help develop, test, optimize, and support AI-powered security tools while gaining valuable experience with enterprise security technologies and modern engineering practices.

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Key Responsibilities

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AI/ML Development & Security Analytics

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• Assist in developing, testing, tuning, and monitoring AI/ML models supporting cybersecurity threat detection and anomaly identification.
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• Analyze security logs, alerts, and telemetry to identify suspicious activity, unusual patterns, and potential security threats.
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• Prepare, clean, organize, and label security datasets for machine learning model training and evaluation.
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• Support model performance monitoring, testing, and continuous improvement.
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Python Development & Security Automation

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• Develop and maintain Python scripts to automate security-related tasks and workflows.
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• Assist in integrating AI/ML capabilities into existing cybersecurity tools and security operations pipelines.
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• Support automation initiatives that improve security monitoring, threat analysis, and operational efficiency.
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• Troubleshoot scripts, data-processing workflows, and integrations with guidance from senior engineers.
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Required Qualifications

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• Bachelor's degree in Computer Science, Cybersecurity, Data Science, Information Technology, or a related discipline, or equivalent practical experience.
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• Working knowledge of Python programming, including scripting and basic automation.
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• Foundational understanding of software development, data processing, or technical problem-solving.
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• Strong interest in artificial intelligence, machine learning, cybersecurity, and security automation.
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• Ability to analyze technical information, troubleshoot problems, and learn new technologies.
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• Strong attention to detail, documentation skills, and analytical thinking.
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• Excellent communication and collaboration skills.
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• Willingness to learn from senior technical professionals and contribute to enterprise engineering initiatives.
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Preferred Qualifications

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• Familiarity with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow.
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• Basic understanding of cybersecurity concepts, including networking, logging, common threats, and security monitoring.
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• Exposure to SIEM or SOAR platforms and security operations workflows.
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• Familiarity with cloud environments such as Microsoft Azure, AWS, or Google Cloud Platform.
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• Experience working with log data, telemetry, security alerts, or anomaly-detection techniques.
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• Academic projects, internships, or personal projects involving Python, AI/ML, cybersecurity, or automation.
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• Relevant certifications such as CompTIA Security+, Microsoft Azure Fundamentals (AZ-900), or comparable credentials.
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