CloudWalk is looking for a Machine Learning Engineer to build the intelligence layer of their edge defenses, designing, training, and deploying machine learning models to detect anomalies and thwart intrusions in real time.
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.
- Ability to communicate effectively and debate complex technical concepts in both English and Portuguese.
Benefits
- Competitive salary
- Health insurance
- Retirement plan
- Generous paid time off
