Location: Remote, only for candidates in LATAM Job Overview Ryz Labs is looking for a Principal Machine Learning Engineer to join the core engineering team of one of our key international clients. In this role, you will play a pivotal part in shaping our client’s next-generation AI platforms, sitting at the intersection of production systems, applied AI, and engineering excellence. You will bridge distributed systems architecture with hands‑on MLOps and LLM engineering. We are seeking an exceptional technical leader who can design scalable multi‑tenant architectures, build robust AI agent governance frameworks, and serve as a trusted technical authority collaborating directly with product managers and key client stakeholders.
Key Responsibilities
- Production ML & Optimization: Deploy and manage AI models at scale, monitoring performance, hallucination rates, drift, latency, and infrastructure costs.
- Architecture & Delivery: Design distributed, event‑driven microservices using Python, Go, or TypeScript while building IaC and CI/CD pipelines to ship your own services.




- AI Security & Governance: Implement agent permission structures, human‑in‑the‑loop workflows, data isolation boundaries, and prompt injection defenses.
- Product Collaboration: Partner with Product Managers from inception to translate business requirements into scalable architectures and present trade‑offs to executives.

What You Bring
- 12–15+ years in software engineering, with a clear evolution from Backend/Distributed Systems Architecture into applied Production ML Engineering.
- Production ML Expertise: Deep experience with MLOps, model evaluation rubrics, advanced RAG, vector search (embeddings, HNSW, hybrid search), and fine‑tuning. (We are looking for engineers building real systems, not just consuming LLM APIs).
- Software Architecture: Strong mastery of distributed systems, microservices, and asynchronous event‑driven patterns in Python, Go, or TypeScript.
- Practical DevOps & Cloud: Hand

📌 Principal ML Engineer (Buenos Aires)
🏢 Ryz Labs
📍 Buenos Aires