Machine Learning Engineer

CloudWalk, Inc. is a fintech company focused on building innovative payment solutions. They are seeking a Machine Learning Engineer to design, train, and deploy machine learning models to enhance their security systems against various threats.

Responsibilities:

• Build edge intelligence. Design and train machine learning models focused on anomaly detection, bot mitigation, and zero-day intrusion detection
• Deploy at scale. Implement and optimize inference models to run efficiently at the edge, processing massive volumes of HTTP traffic with ultra-low latency
• Turn attacks into data. Work closely with our offensive security engineers to understand attack vectors, simulate realistic threats, and generate high-quality datasets for model training
• Automate the defense. Create robust data pipelines that continuously ingest traffic logs, monitor model performance, detect concept drift, and automate retraining based on the latest threat intelligence

Requirements:

• Fluency in Python and SQL, with deep proficiency in ML libraries like PyTorch, TensorFlow, or Scikit-Learn
• Experience deploying machine learning models into production, specifically dealing with high-throughput, low-latency requirements
• Strong understanding 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 software engineering fundamentals. You code daily and can write production-ready services in Python, Rust, TypeScript, or similar languages to integrate your models with our stack
• Experience with cloud-based infrastructure (GCP/AWS) and managing large-scale datasets
• Experience with LLMs and Agents
• As a member of a fully remote and distributed team, you are expected to complete tasks autonomously, being highly collaborative and self-driven
• Ability to communicate effectively and debate complex technical concepts in both English and Portuguese
• Direct experience with the Cloudflare ecosystem, specifically Cloudflare Workers, Cloudflare WAF, or Cloudflare Workers AI
• Background in cybersecurity, such as building Intrusion Detection/Prevention Systems (IDS/IPS), threat hunting, or analyzing malware
• Familiarity with payment industry security (PCI DSS, card tokenization, acquiring flows)
• Contributions to open-source security/ML tools, published security research, or CTF participation