Junior AI Security Engineer

Seneca Resources; New York (NY); On-site; USD 85,000 - 130,000; Full time

Job summary

Seneca Resources invites early-career technical professionals to apply AI, ML, Python, and automation to real-world cybersecurity challenges in New York. You will work with senior engineers and an Enterprise Architect to develop, test, optimize, and support AI-powered security tools and gain exposure to enterprise security technologies.

You will help analyze security logs and telemetry, prepare labeled datasets, and automate security workflows while learning modern engineering practices.

Qualifications

• Bachelor's degree or equivalent in Computer Science, Cybersecurity, Data Science, IT, or related field or practical experience.
• Proficiency in Python and scripting for automation.
• Foundational understanding of software development, data processing, or technical problem-solving.
• Strong interest in AI, ML, cybersecurity, and security automation.
• Ability to analyze complex information, troubleshoot, and learn new technologies.
• Excellent attention to detail, documentation, and analytical thinking.
• Strong communication and collaboration skills.
• Willingness to learn from senior professionals and contribute to enterprise initiatives.

Responsibilities

• AI/ML Development & Security Analytics: develop, test, tune, and monitor AI/ML models for threat detection and anomaly identification.
• Analyze security logs, alerts, and telemetry to identify suspicious activity and potential threats.
• Prepare, clean, label, and organize security datasets for model training and evaluation.
• Support model performance monitoring, testing, and continuous improvement.
• Python Development & Security Automation: develop and maintain Python scripts to automate security tasks and workflows.
• Assist in integrating AI/ML capabilities into existing cybersecurity tools and security operations pipelines.
• Support automation initiatives that improve security monitoring and threat analysis.
• Troubleshoot scripts, data-processing workflows, and integrations with guidance from senior engineers.

Skills

Python programming

AI/ML development

Security analytics

Data analysis

Troubleshooting

Documentation

Collaboration

Education

Bachelor's degree or equivalent

Tools

scikit-learn

PyTorch

TensorFlow

SIEM

SOAR

Azure

AWS

Job description

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.

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.

Key Responsibilities

AI/ML Development & Security Analytics

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

Python Development & Security Automation

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

Required Qualifications

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

Preferred Qualifications

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