Senior AI Developer (Cybersecurity)

TL;DR

Senior AI Developer (Cybersecurity): Driving AI adoption within the GuardNest platform by designing and deploying machine learning solutions for threat detection and security operations with an accent on the full AI lifecycle from ideation to production. Focus on building scalable models, integrating LLMs, and collaborating with cross-functional security teams to enhance proactive defense capabilities.

Company

hirify.global is a specialist cybersecurity and compliance consultancy providing innovative solutions including Penetration Testing as a Service (PTaaS) via its GuardNest platform.

What you will do

• Design, develop, and implement scalable AI/ML solutions to address complex cybersecurity challenges like anomaly detection and automated threat hunting.
• Manage the end-to-end AI development lifecycle, including data preparation, model training, performance evaluation, and production deployment.
• Embed AI capabilities into the GuardNest platform to prioritize vulnerabilities and build intelligent AI assistants.
• Research emerging AI techniques, including generative AI and reinforcement learning, to maintain a technological edge.
• Contribute to internal AI governance frameworks and best practices to ensure secure and compliant system development.
• Collaborate with security analysts, penetration testers, and software engineers to translate business requirements into effective technical solutions.

Requirements

• Proven software engineering experience primarily using Python.
• Hands-on experience developing and deploying AI or ML models in production environments.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience deploying applications on cloud platforms like AWS or Azure.
• Familiarity with containerization tools such as Docker and Kubernetes.
• Strong analytical mindset with a focus on system performance, accuracy, and reliability.

Nice to have

• Experience with NLP, LLMs, or vector databases.
• Knowledge of cybersecurity concepts such as OWASP, CVE, or SIEM.
• Degree in Computer Science, Data Science, Engineering, or a related field.

Culture & Benefits

• Flexible hybrid working environment.
• Opportunity to work at the cutting edge of AI and cybersecurity integration.
• Collaborative team environment with security specialists and product experts.
• Focus on innovation, smart design, and professional growth.