Machine Learning Engineer

CloudWalk, Inc.; São Paulo; Remote; BRL 180,000 - 300,000; Full time

Job summary

CloudWalk is hiring a Machine Learning Engineer to design, train, and deploy ML models at the edge for real‑time threat detection and defense. You will work with security engineers to convert attack data into high‑quality datasets and optimize inference workloads at scale.

You will leverage Python, ML libraries, and cloud platforms to build robust data pipelines that continuously ingest traffic logs and retrain models as threats evolve.

Qualifications

• Strong Python programming and SQL querying skills.
• Experience deploying ML models to production.
• Familiarity with security best practices and web protocols.

Responsibilities

• Build edge ML models for anomaly detection, bot mitigation, and intrusion detection.
• Deploy and optimize low-latency inference at the edge for high throughput HTTP traffic.
• Collaborate with offensive security engineers to create quality training datasets.
• Automate data pipelines and retrain models based on threat intelligence.

Skills

Python

SQL

ML model deployment

Security best practices

English/Portuguese comms

Tools

PyTorch

TensorFlow

Scikit-Learn

Cloudflare Workers

AWS

GCP

Job description

About CloudWalk

About CloudWalk: We are not just another fintech unicorn. We are a pack of dreamers, makers, and tech enthusiasts building the future of payments. With millions of customers and a hunger for innovation, we’re now expanding our neural network – literally and metaphorically. At CloudWalk, our Security team doesn’t just react to threats; we engineer systems that anticipate and neutralize them before they ever reach our infrastructure. We are looking for a Machine Learning Engineer to build the intelligence layer of our edge defenses. You won’t just be tuning standard WAF rules or analyzing logs after the fact. You will design, train, and deploy machine learning models directly at the edge to detect anomalies, thwart intrusions, and block sophisticated attacks in real time. You will bridge the gap between security intelligence and massive‑scale data science, turning raw network traffic into a proactive defense mechanism. You’ll work alongside red teamers and security engineers, using their attack data to train models that make those exact attack classes obsolete. If you enjoy solving hard scaling problems, weaponizing AI for defense, and protecting billions of transactions, this role is for you.

About This Role

• 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.

What You Need To Succeed

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.

Nice to Have

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.

The Future We See

• People teams leveraging AI to transform talent acquisition and employee development.
• Marketing professionals creating data‑driven, AI‑powered campaign strategies.
• Customer Success teams enhancing client experiences with intelligent solutions.
• Risk analysts combining human expertise with AI to navigate complexities.
• Designers collaborating with AI to push creative boundaries.

Join us at CloudWalk, where we’re not just engineering solutions; we’re building a smarter, AI‑driven future for payments—together.