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AI agents · payments infrastructure

Machine Learning Engineer

Remote · São PauloPosted 2 months ago
Machine learningUnspecifiedFull Time Remote
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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.

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