Security ML Engineer: Build Safe, Scalable LLMs

witnessai; United States; On-site; USD 36,000 - 60,000; Full time

Job summary

Witness AI in Cairo is seeking a Machine Learning Engineer to design, build, and evaluate language models powering our AI security products. You will own the end-to-end pipeline—from dataset curation and preprocessing to experiment design and result visualization—ensuring reliable, interpretable, and safe language models.

You will collaborate with researchers and data scientists to translate new ideas into robust engineering workflows, and you will implement CI/CD practices to ship quickly and

Qualifications

• 2–5+ years in machine learning or data science, ideally in a security or infrastructure-heavy environment.
• Strong software engineering background with Python proficiency and testing frameworks (pytest/unittest).
• Proficiency with ML frameworks such as PyTorch and experience deploying models.

Responsibilities

• Build scalable pipelines to collect and preprocess datasets for training and evaluation of LLMs.
• Design and run experiments to evaluate LLMs on accuracy, robustness, fairness, and safety.
• Create dashboards and visualizations to communicate evaluation results and failure cases.
• Develop and leverage knowledge graphs to structure data and improve context-driven model performance.
• Collaborate with researchers to translate ideas into engineering workflows and with data scientists to automate QA checks.
• Fine-tune, optimize, and integrate models into production with reliability and CI/CD best practices.

Skills

Python

PyTorch

NLP

ML fundamentals

CI/CD

MLOps

Security

Startup mindset

Tools

Docker

Kubernetes

AWS

GCP

Azure

Spark

Kafka

Airflow

Job description

Witness AI in Cairo is seeking a Machine Learning Engineer to design, build, and evaluate language models powering our AI security products. You will own the end-to-end pipeline—from dataset curation and preprocessing to experiment design and result visualization—ensuring reliable, interpretable, and safe language models.

You will collaborate with researchers and data scientists to translate new ideas into robust engineering workflows, and you will implement CI/CD practices to ship quickly and