Machine Learning Engineer

📋 Description

• Develop systems that proactively identify and mitigate security threats before they impact infrastructure.

• Design, train, and implement machine learning models directly at the edge.

• Connect security intelligence with large-scale data science initiatives.

• Work alongside red team members and security engineers to transform attack data into forward-thinking defense strategies.

⛳️ Requirements

• Create edge intelligence. Design and train machine learning models aimed at anomaly detection, bot mitigation, and zero-day intrusion detection.

• Scale deployment. Implement and enhance inference models to operate efficiently at the edge, managing substantial volumes of HTTP traffic with minimal latency.

• Convert attacks into actionable data. Collaborate closely with our offensive security engineers to comprehend attack vectors, replicate realistic threats, and produce high-quality datasets for model training.

• Automate defense mechanisms. Develop robust data pipelines that continuously gather traffic logs, assess model performance, identify concept drift, and automate retraining based on the latest threat intelligence.

🏝️ Benefits

• Proficiency in Python and SQL, with extensive experience in machine learning libraries such as PyTorch, TensorFlow, or Scikit-Learn.

• Background in deploying machine learning models in production environments, particularly handling high-throughput and low-latency demands.

• Strong grasp of web security, HTTP protocols, and common attack vectors (e.g., OWASP Top 10, L7 DDoS, credential stuffing).

• Familiarity with edge computing platforms (Cloudflare, Fastly, AWS Edge) and CDN/WAF concepts.

• Solid foundation in software engineering principles. You code daily and can develop production-ready services in Python, Rust, TypeScript, or similar languages to integrate your models with our systems.

• Experience with cloud infrastructure (GCP/AWS) and managing extensive datasets.

• Familiarity with LLMs and Agents.

• As part of a fully remote and distributed team, you are expected to work autonomously while being highly collaborative and self-motivated.

• Ability to effectively communicate and discuss complex technical concepts in both English and Portuguese.