Machine Learning Engineer (Cybersecurity)

TL;DR

Machine Learning Engineer (Cybersecurity): Designing, building, and scaling production ML systems for cybersecurity challenges with an accent on the full ML lifecycle from data pipelines to model monitoring. Focus on architecting scalable infrastructure and optimizing model serving for real-time threat detection.

Location: Must be based in Cordoba, Argentina

Company

hirify.global is a global leader in human- and agent-centric cybersecurity, protecting data and AI agents across email, cloud, and collaboration tools.

What you will do

• Design and build scalable ML pipelines and data infrastructure for high-throughput threat detection systems.
• Own the end-to-end deployment, monitoring, and A/B testing of ML models in production.
• Architect model serving solutions including REST APIs, batch prediction, and streaming to meet latency requirements.
• Build feature pipelines and data infrastructure to support model training and inference at scale.
• Collaborate with data scientists to translate model requirements into robust production systems.
• Optimize model performance and resource utilization to manage compute costs and inference latency.

Requirements

• Must be based in Cordoba, Argentina.
• 3-4 years of software engineering and ML systems experience.
• Proficiency in Python with a strong understanding of data structures, algorithms, and system design.
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn in production.
• Experience with cloud platforms, specifically AWS (EC2, S3, SageMaker, Lambda, RDS).
• Strong understanding of software engineering best practices, including CI/CD, testing, and version control.

Nice to have

• Familiarity with goLang.
• Experience with ML deployment frameworks like MLflow, TensorFlow Serving, or KServe.
• Basic understanding of adversarial ML concepts and security analytics.

Culture & Benefits

• Competitive compensation and comprehensive benefits package.
• Flexible work environment.
• Annual wellness and community outreach days.
• Global collaboration and networking opportunities.
• Recognition for contributions and a culture rooted in bravery and innovation.