Ryz Labs

Full Stack AI Engineer – Security

Ryz Labs

contract

Posted on:

Location Type: Remote

Location: Argentina

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Tech Stack

CloudCyber SecurityNoSQLPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Design and implement AI/ML models to detect, prevent, and respond to security threats (e.g., fraud, abuse, anomalies, malware, insider risk).
  • Build and maintain pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
  • Apply techniques such as anomaly detection, graph analysis, NLP, and behavioral modeling to security use cases.
  • Integrate AI security solutions into production systems with high reliability and low latency.
  • Partner with Security, DevOps, and Platform teams to embed AI-driven protections into existing tools and workflows.
  • Monitor model performance, address drift, and continuously improve detection accuracy and resilience.
  • Research emerging threats and adversarial techniques, including adversarial ML, and proactively adapt defenses.
  • Contribute to incident response by providing AI-based insights and automation.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; Master’s degree preferred
  • Strong experience in machine learning or applied AI, with production deployment experience.
  • Solid foundation in security concepts (e.g., threat modeling, authentication, authorization, network or application security).
  • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • Experience working with large-scale data systems (SQL/NoSQL, streaming pipelines, logs, telemetry).
  • Familiarity with cloud platforms and MLOps practices (CI/CD, monitoring, model lifecycle management).
  • Ability to reason about trade-offs between security, performance, and usability.
  • Background in cybersecurity, fraud detection, trust & safety, or abuse prevention.
  • Experience with graph-based ML, NLP for security signals, or time-series anomaly detection.
  • Knowledge of adversarial ML, model evasion techniques, or secure model design.
  • Experience building systems that operate under strict latency or reliability constraints.
  • Prior work in regulated or high-risk environments.
  • Security certifications or coursework (e.g., OSCP, CISSP concepts).
  • Experience with SIEM/SOAR tools or security telemetry platforms.
  • Publications, talks, or open-source contributions in AI or security.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI/ML modelsanomaly detectiongraph analysisNLPbehavioral modelingPythonPyTorchTensorFlowscikit-learnlarge-scale data systems
Soft Skills
ability to reason about trade-offscollaborationincident responsecontinuous improvementadaptability
Certifications
Bachelor’s degreeMaster’s degreeOSCPCISSP